cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23728/b2share.873yc-97z94
title: Re-deposit: Place Names in West Central District of Tainan [EPOS]

description: Reused dataset from https://data.depositar.io/dataset/place-names-in-west-central-district-of-tainan.

* Place Names on Ancient Maps of West Central District of Tainan, Taiwan
 * 來源研究計畫: 空間資訊科學與跨領域研究─台江內海地區的人文社會經濟發展與環境變遷-用以處理台江內海地區時空資訊之協同研究平台的探索與建立
 * English Translation for Place Name and Type via Google Translation
DOI: 10.23728/b2share.9vm7s-8kb84
title: Re-deposit: Place Names in West Central District of Tainan

description: Reused dataset from https://data.depositar.io/dataset/place-names-in-west-central-district-of-tainan.

* Place Names on Ancient Maps of West Central District of Tainan, Taiwan
 * 來源研究計畫: 空間資訊科學與跨領域研究─台江內海地區的人文社會經濟發展與環境變遷-用以處理台江內海地區時空資訊之協同研究平台的探索與建立
 * English Translation for Place Name and Type via Google Translation
DOI: 10.23728/b2share.3f7h3-dx607
title: A scan test for spatial groupwise heteroscedasticity in cross-sectional models with an application on houses prices in Madrid

description: We propose a scan test for the presence of spatial groupwise heteroskedasticity in cross-sectional data. The scan approach has been used in different fields before, including spatial econometric models, to detect instability in mean values of variables or regression residuals. In this paper, we extend its use to second order moments. Using large Monte Carlo simulations, we check the reliability of the proposed scan procedure to detect instabilities in the variance, the size and power of the test and its accuracy to find spatial clusters of observations with similar variances. Finally, we illustrate the usefulness of this test to improve the specification search in a spatial hedonic model, with an empirical application on housing prices in Madrid.
description: How to cite the database (APA style):
Chasco, C.; Le Gallo, J. & López, FF. (2022). A scan test for spatial groupwise heteroscedasticity in cross-sectional
models with an application on houses prices in Madrid [Data set & Code]. (doi: 10.23728/b2share.b862dd888bbd4799a86896c0763668a4).
DOI: 10.23728/b2share.3qt8f-b5f24
title: A scan test for spatial groupwise heteroscedasticity in cross-sectional models with an application on houses prices in Madrid

description: We propose a scan test for the presence of spatial groupwise heteroskedasticity in cross-sectional data. The scan approach has been used in different fields before, including spatial econometric models, to detect instability in mean values of variables or regression residuals. In this paper, we extend its use to second order moments. Using large Monte Carlo simulations, we check the reliability of the proposed scan procedure to detect instabilities in the variance, the size and power of the test and its accuracy to find spatial clusters of observations with similar variances. Finally, we illustrate the usefulness of this test to improve the specification search in a spatial hedonic model, with an empirical application on housing prices in Madrid.
description: How to cite the database (APA style):
Chasco, C.; Le Gallo, J. & López, FF. (2022). A scan test for spatial groupwise heteroscedasticity in cross-sectional
models with an application on houses prices in Madrid [Data set & Code]. (doi: 10.23728/b2share.b862dd888bbd4799a86896c0763668a4).
DOI: 10.23728/b2share.9zhfg-zyx24
title: Re-deposit: Place Names in West Central District of Tainan [LIFE+Respira]

description: Reused from https://data.depositar.io/dataset/place-names-in-west-central-district-of-tainan

* Place Names on Ancient Maps of West Central District of Tainan, Taiwan
* 來源研究計畫:空間資訊科學與跨領域研究─台江內海地區的人文社會經濟發展與環境變遷-用以處理台江內海地區時空資訊之協同研究平台的探索與建立
* English Translation for Place Name and Type via Google Translation
DOI: 10.23728/b2share.s3d91-2rm42
title: Re-deposit: Place Names in West Central District of Tainan [LIFE+Respira]

description: Reused from https://data.depositar.io/dataset/place-names-in-west-central-district-of-tainan

* Place Names on Ancient Maps of West Central District of Tainan, Taiwan
* 來源研究計畫:空間資訊科學與跨領域研究─台江內海地區的人文社會經濟發展與環境變遷-用以處理台江內海地區時空資訊之協同研究平台的探索與建立
* English Translation for Place Name and Type via Google Translation
DOI: 10.23728/b2share.3tzse-vxe33
title: The Integrated European Population Microdata (IEPM)

description: The Integrated European Population Microdata (IEPM) database  is under construction. With the funding by the National Institutes of Health (NIH) of the United States, integration and full documentation of the data are being organized by the Minnesota Population Center. In addition, the Centre d'Estudis Demogràfics (CED) has been successful in attracting European Union research programmes support for enhancing, harmonizing and disseminating the integrated European microdata and metadata as well as for coordinating tasks based in Europe.
DOI: 10.23728/b2share.b3grv-wfs85
title: The Integrated European Population Microdata (IEPM)

description: The Integrated European Population Microdata (IEPM) database  is under construction. With the funding by the National Institutes of Health (NIH) of the United States, integration and full documentation of the data are being organized by the Minnesota Population Center. In addition, the Centre d'Estudis Demogràfics (CED) has been successful in attracting European Union research programmes support for enhancing, harmonizing and disseminating the integrated European microdata and metadata as well as for coordinating tasks based in Europe.
DOI: 10.23728/b2share.ts923-85086
title: 23 Things: Libraries for Research Data

description: An overview of practical, free, online resources and tools that you can begin using today to incorporate research data management into your practice of librarianship from the Libraries for Research Data Interest Group of the Research Data Alliance. Translated from English into
DOI: 10.23728/b2share.60mz2-yjr96
title: Gesäuse-Johnsbachtal - Austria, Bulk Density

description: Bulk density data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.wwbz5-svy26
title: 23 Things: Libraries for Research Data

description: An overview of practical, free, online resources and tools that you can begin using today to incorporate research data management into your practice of librarianship from the Libraries for Research Data Interest Group of the Research Data Alliance. Translated from English into
DOI: 10.23728/b2share.69kbr-qbh52
title: Gesäuse-Johnsbachtal - Austria, Bulk Density

description: Bulk density data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.ccm5k-w8d63
title: Gesäuse-Johnsbachtal - Austria, Bulk Density

description: Bulk density data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.cx99a-gmg91
title: A Typology of Industries for Prioritising Infrastructure Investments: A Spatial Approach [Data set & Code]

description: Dataset accompanying the publication "A Typology of Industries for Prioritising Infrastructure Investments: A Spatial Approach". The paper constructs a typology of industries to prioritise infrastructure investments in high-return areas in Peru. In doing so, we employ a combination of nonparametric and parametric methods. First, using nonparametric distance-based tests of industry localisation, we find that one-third of manufacturing industries exhibit a relatively high degree of industrial agglomeration. Then using GMM spatial logit models, we explore spatial and non-spatial factors that firms value when deciding where to locate. We find that spatial effects are a key factor of firm's location, but its importance varies significantly across quartiles of concentration. Finally, we use GMM parameter estimates for agglomerated industries and geographical endowments to construct a typology of industries that differs according to their clustering degree, accessibility to markets, access to inputs, basic infrastructure levels and neighbouring effects. This setup is proposed to help policymakers to prioritise industrial policies in areas where infrastructure investments will generate the highest economic returns in Peru.
description: Nonparametric distance-based tests and spatial logit models estimated by GMM.
description: How to cite the database (APA style):
Herrera-Catalán, P.; Chasco, C. (2023). A Typology of Industries for Prioritising Infrastructure Investments: A Spatial Approach [Data set & Code] (doi: https://doi.org/10.23728/b2share.ae42619333e64e33a54757ff1a53e38c).
Source:
Herrera-Catalán, P.; Chasco, C. A Typology of Industries for Prioritising Infrastructure Investments: A Spatial Approach. ECONRES Work-in-Progress 2023/02, Universidad Autónoma de Madrid. https://econresuam.wordpress.com/econres-work-in-progress
DOI: 10.23728/b2share.nbkt4-efn61
title: Gesäuse-Johnsbachtal - Austria, Bulk Density

description: Bulk density data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.mc20b-c7w95
title: Prioritising Infrastructure Investments Based on Agglomeration Externalities: A Methodological Framework with Evidence from Peru [Data set & Code]

description: Dataset accompanying the publication "Prioritising Infrastructure Investments Based on Agglomeration Externalities: A Methodological Framework with Evidence from Peru". The purpose of this research is to propose a methodological framework for strategically prioritising infrastructure investments in areas with significant spatial concentration of economic activity. Such concentration generates agglomeration externalities, positively influencing economic growth and productivity. However, infrastructure investments aimed at reinforcing these externalities often involve equity-efficiency trade-offs, presenting policymakers with challenging resource-allocation decisions. Our framework comprises three sequential stages. The first stage involves identifying geographical patterns of industrial agglomeration through a non-parametric statistical methodology. In the second stage, spatial econometric models are estimated to examine how firm location choices respond to different categories of infrastructure: basic infrastructure (water, sewerage, electricity), accessibility to markets (primarily transport infrastructure), and access to production inputs (education and financial infrastructure). The final stage constructs a typology of high-return areas by integrating the findings from previous stages, aligning infrastructure priorities with industry-specific needs and local infrastructure endowments. Applying this methodology to manufacturing industries in Peru reveals substantial variation in industrial agglomeration patterns, with approximately one-third of industries showing statistically significant clustering. The analysis demonstrates that infrastructure endowments and spatial spillover effects considerably influence firm location decisions. The resulting typology highlights clear infrastructure investment priorities tailored to distinct regional characteristics and agglomeration potentials. The major conclusion drawn is that a systematic, evidence-based methodology enables policymakers to effectively target infrastructure investments, maximising economic returns and mitigating equity-efficiency trade-offs. This approach is particularly valuable in developing countries facing significant infrastructure deficits and resource constraints.
description: Nonparametric distance-based tests and spatial logit models estimated by GMM.
description: How to cite the database (APA style):
Herrera-Catalán, P.; Chasco, C., Royuela, V. (2025). Prioritising Infrastructure Investments Based on Agglomeration Externalities: A Methodological Framework with Evidence from Peru [Data set & Code] (doi: 10.23728/b2share.bcb8e0c40f4d4cb3961950b8a555308c).
Source:
Herrera-Catalán, P.; Chasco, C., Royuela, V. (2025). Prioritising Infrastructure Investments Based on Agglomeration Externalities: A Methodological Framework with Evidence from Peru. Papers in Regional Science. In press.
DOI: 10.23728/b2share.zwbaa-kkj27
title: A Typology of Industries for Prioritising Infrastructure Investments: A Spatial Approach [Data set & Code]

description: Dataset accompanying the publication "A Typology of Industries for Prioritising Infrastructure Investments: A Spatial Approach". The paper constructs a typology of industries to prioritise infrastructure investments in high-return areas in Peru. In doing so, we employ a combination of nonparametric and parametric methods. First, using nonparametric distance-based tests of industry localisation, we find that one-third of manufacturing industries exhibit a relatively high degree of industrial agglomeration. Then using GMM spatial logit models, we explore spatial and non-spatial factors that firms value when deciding where to locate. We find that spatial effects are a key factor of firm's location, but its importance varies significantly across quartiles of concentration. Finally, we use GMM parameter estimates for agglomerated industries and geographical endowments to construct a typology of industries that differs according to their clustering degree, accessibility to markets, access to inputs, basic infrastructure levels and neighbouring effects. This setup is proposed to help policymakers to prioritise industrial policies in areas where infrastructure investments will generate the highest economic returns in Peru.
description: Nonparametric distance-based tests and spatial logit models estimated by GMM.
description: How to cite the database (APA style):
Herrera-Catalán, P.; Chasco, C. (2023). A Typology of Industries for Prioritising Infrastructure Investments: A Spatial Approach [Data set & Code] (doi: https://doi.org/10.23728/b2share.1f11cc5afcf649d3a248b4d705a9a2cb).
Source:
Herrera-Catalán, P.; Chasco, C. A Typology of Industries for Prioritising Infrastructure Investments: A Spatial Approach. ECONRES Work-in-Progress 2023/02, Universidad Autónoma de Madrid. https://econresuam.wordpress.com/econres-work-in-progress
DOI: 10.23728/b2share.gr45z-m2597
title: Gesäuse-Johnsbachtal - Austria, Total nitrogen concentration

description: Total nitrogen concentration data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.hf9df-m5p92
title: Prioritising Infrastructure Investments Based on Agglomeration Externalities: A Methodological Framework with Evidence from Peru [Data set & Code]

description: Dataset accompanying the publication "Prioritising Infrastructure Investments Based on Agglomeration Externalities: A Methodological Framework with Evidence from Peru". The purpose of this research is to propose a methodological framework for strategically prioritising infrastructure investments in areas with significant spatial concentration of economic activity. Such concentration generates agglomeration externalities, positively influencing economic growth and productivity. However, infrastructure investments aimed at reinforcing these externalities often involve equity-efficiency trade-offs, presenting policymakers with challenging resource-allocation decisions. Our framework comprises three sequential stages. The first stage involves identifying geographical patterns of industrial agglomeration through a non-parametric statistical methodology. In the second stage, spatial econometric models are estimated to examine how firm location choices respond to different categories of infrastructure: basic infrastructure (water, sewerage, electricity), accessibility to markets (primarily transport infrastructure), and access to production inputs (education and financial infrastructure). The final stage constructs a typology of high-return areas by integrating the findings from previous stages, aligning infrastructure priorities with industry-specific needs and local infrastructure endowments. Applying this methodology to manufacturing industries in Peru reveals substantial variation in industrial agglomeration patterns, with approximately one-third of industries showing statistically significant clustering. The analysis demonstrates that infrastructure endowments and spatial spillover effects considerably influence firm location decisions. The resulting typology highlights clear infrastructure investment priorities tailored to distinct regional characteristics and agglomeration potentials. The major conclusion drawn is that a systematic, evidence-based methodology enables policymakers to effectively target infrastructure investments, maximising economic returns and mitigating equity-efficiency trade-offs. This approach is particularly valuable in developing countries facing significant infrastructure deficits and resource constraints.
description: Nonparametric distance-based tests and spatial logit models estimated by GMM.
description: How to cite the database (APA style):
Herrera-Catalán, P.; Chasco, C., Royuela, V. (2025). Prioritising Infrastructure Investments Based on Agglomeration Externalities: A Methodological Framework with Evidence from Peru [Data set & Code] (doi: 10.23728/b2share.bcb8e0c40f4d4cb3961950b8a555308c).
Source:
Herrera-Catalán, P.; Chasco, C., Royuela, V. (2025). Prioritising Infrastructure Investments Based on Agglomeration Externalities: A Methodological Framework with Evidence from Peru. Papers in Regional Science. In press.
DOI: 10.23728/b2share.a4gy9-qxd24
title: Gesäuse-Johnsbachtal - Austria, Total nitrogen concentration

description: Total nitrogen concentration data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.r4xad-fry52
title: Gesäuse-Johnsbachtal - Austria, Total nitrogen concentration

description: Total nitrogen concentration data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.74gfg-n5z43
title: Gesäuse-Johnsbachtal - Austria, Soil base saturation

description: Soil base saturation data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.z342b-h4e69
title: Gesäuse-Johnsbachtal - Austria, Soil base saturation

description: Soil base saturation data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.10w4y-2qk34
title: Gesäuse-Johnsbachtal - Austria, Soil pH

description: Soil pH data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.q5p2p-yj490
title: Gesäuse-Johnsbachtal - Austria, Soil pH

description: Soil pH data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.g6bgp-kr660
title: Gesäuse-Johnsbachtal - Austria, Soil infiltration rate

description: Soil infiltration rate data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.hk7gn-5en68
title: Gesäuse-Johnsbachtal - Austria, Soil infiltration rate

description: Soil infiltration rate data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.kc5t8-hkp28
title: Gesäuse-Johnsbachtal - Austria, Soil pH

description: Soil pH data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.rzf2b-acw75
title: Gesäuse-Johnsbachtal - Austria, Soil infiltration rate

description: Soil infiltration rate data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.240d46b363844b589ced5bb6b93f9cd0
title: Gesäuse-Johnsbachtal - Austria, Soil particle size distribution

description: Soil particle size distribution data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.9a43891693c946a8bc99d7a6481649e2
title: Gesäuse-Johnsbachtal - Austria, Soil particle size distribution

description: Soil particle size distribution data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.d4mja-gqh78
title: Gesäuse-Johnsbachtal - Austria, Soil particle size distribution

description: Soil particle size distribution data of the Gesäuse-Johnsbachtal site
DOI: 10.23728/b2share.43nhn-tar08
title: Grassland Dynamics - AgroScapeLab Quillow (ZALF) (Germany) 2000-2019

description: Vegetation Abundance data as
used for the Horizon Europe project "Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities" (https://biodt.eu/).
DOI: 10.23728/b2share.dfxv2-hqx94
title: Grassland Dynamics - AgroScapeLab Quillow (ZALF) (Germany) - 2000-2019

description: Vegetation Abundance data as used for the Horizon Europe project "Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities" (https://biodt.eu/).
DOI: 10.23728/b2share.k9qwz-z6879
title: Grassland Dynamics - AgroScapeLab Quillow (ZALF) (Germany) 2000-2019

description: Vegetation Abundance data as
used for the Horizon Europe project "Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities" (https://biodt.eu/).
DOI: 10.23728/b2share.fncqz-z6f23
title: Grassland Dynamics - AgroScapeLab Quillow (ZALF) (Germany) - 2000-2019

description: Vegetation Abundance data as used for the Horizon Europe project "Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities" (https://biodt.eu/).
DOI: 10.23728/b2share.scqw7-4f763
title: Sun light spectrum during the day

description: Spectrum of sun light was measured from dawn to dusk (06:09-20:29 o'clock) around every 30 minutes with SpectraWiz Spectroradiometer PS-100. Place: Berlin Dahlem, Lentzeallee 75; Date: 09.04.2019
DOI: 10.23728/b2share.6n13w-2rv76
title: Sun light spectrum during the day

description: Spectrum of sun light was measured from dawn to dusk (06:09-20:29 o'clock) around every 30 minutes with SpectraWiz Spectroradiometer PS-100. Place: Berlin Dahlem, Lentzeallee 75; Date: 09.04.2019
DOI: 10.34740/kaggle/dsv/14730479
title: Buy Now, Pay Later (BNPL) Dataset:
DOI: 10.15468/dl.vzy6vj
title: Occurrence Download

description: A dataset containing 480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxytheca perfoliata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 480 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011569-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.653xfs
title: Occurrence Download

description: A dataset containing 7325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhopalostylis sapida",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7325 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011568-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/diqhpk
title: Read_me.docx

description: :unav
DOI: 10.57745/9rjyhw
title: Data_Set.tab

description: :unav
DOI: 10.5281/zenodo.18482116
title: THE COGNITIVE LOAD OF SIMULTANEOUS INTERPRETATION:A COMPARATIVE ANALYSIS OF SYNTACTIC ASYMMETRY IN ENGLISH -GERMAN AND ENGLISH -UZBEK LANGUAGE PAIRS

description: Simultaneous Interpretation (SI) represents one of the most taxing cognitive activities known to human linguistics. This study investigates the impact of syntactic asymmetry—specifically the divergence between SVO (Subject-Verb-Object) and SOV (Subject-Object-Verb) structures—on the cognitive load of interpreters. By comparing English-German and English-Uzbek interpretation contexts, this paper analyzes the "Ear-Voice Span" (EVS) and the strategies of anticipation. Findings suggest that the "verb-late" nature of Uzbek and German necessitates a higher reliance on working memory compared to symmetrical language pairs. The research utilizes recent data from 2020–2025 to evaluate the efficacy of "probabilistic prognosticating" in SI.