cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fyb3rgczp8
title: Research Data - Angeline & Andrian (2025)

description: The purpose of this study is to analyze the effect of innovation (INV), dynamic capabilities (DCS), and green entrepreneurial orientation (GEO) on sustainability performance (SPE). The study uses quantitative methods, with primary data using questionnaire through google form with a total of 162 respondents from MSMEs in Jakarta and Tangerang area (Indonesia). Data processed using SPSS and Smart PLS as a statistical tool.
DOI: 10.11587/zfljk3/z5xhf1
title: 10518_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/zfljk3/zlkwub
title: 10518_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.17632/fyb3rgczp8.1
title: Research Data - Angeline & Andrian (2025)

description: The purpose of this study is to analyze the effect of innovation (INV), dynamic capabilities (DCS), and green entrepreneurial orientation (GEO) on sustainability performance (SPE). The study uses quantitative methods, with primary data using questionnaire through google form with a total of 162 respondents from MSMEs in Jakarta and Tangerang area (Indonesia). Data processed using SPSS and Smart PLS as a statistical tool.
DOI: 10.11587/zfljk3/uncmig
title: 10518_da_de_v1_0.tab

description: Core data file - STATA format - 18 Variables, 502 Observations
DOI: 10.11587/zfljk3/xprzad
title: 10518_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 18 Variables, 502 Observations
DOI: 10.11587/nrn3h4/gcja5l
title: 10519_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/nrn3h4/dczzrl
title: 10519_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/nrn3h4/3lbbzh
title: 10519_da_de_v1_0.tab

description: Core data file - STATA format - 27 Variables, 1000 Observations
DOI: 10.11587/nrn3h4/t3auct
title: 10519_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 27 Variables, 1000 Observations
DOI: 10.17632/typ5k6sgxy.1
title: Housing market investment in peripheral areas: Evidence from Italy

description: Dataset for the paper: Pernagallo, G., Vitali, G. (2025). Housing market investment in peripheral areas: Evidence from Italy, Papers in Regional Science, 100113.
DOI: 10.11587/wlfv3m/09ltfb
title: 10520_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/wlfv3m/qgrlzl
title: 10520_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/wlfv3m/dwa1ok
title: 10520_da_de_v1_0.tab

description: Core data file - STATA format - 28 Variables, 495 Observations
DOI: 10.11587/wlfv3m/fwgcxa
title: 10520_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 28 Variables, 495 Observations
DOI: 10.11587/cqb0qa/kojcvt
title: 10521_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.3886/e209901
title: Data and Code for: GDP-B: Accounting for the Value of New and Free Goods

description: The welfare contributions of new goods and free goods are not well-measured in our current national accounts. We derive explicit terms for the contributions of these goods and introduce a new framework and metric, GDP-B which quantifies their benefits. We apply this framework to several empirical examples including Facebook and smartphone cameras and estimate their valuations through incentive-compatible choice experiments. We find that including the gains from Facebook adds 0.05 to 0.11 percentage points to welfare growth per year while improvements in smartphones adds approximately 0.63 percentage points per year.
DOI: 10.11587/cqb0qa/if9d0z
title: 10521_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/cqb0qa/62chlz
title: 10521_da_de_v1_0.tab

description: Core data file - STATA format - 15 Variables, 507 Observations
DOI: 10.3886/e209901v1
title: Data and Code for: GDP-B: Accounting for the Value of New and Free Goods

description: The welfare contributions of new goods and free goods are not well-measured in our current national accounts. We derive explicit terms for the contributions of these goods and introduce a new framework and metric, GDP-B which quantifies their benefits. We apply this framework to several empirical examples including Facebook and smartphone cameras and estimate their valuations through incentive-compatible choice experiments. We find that including the gains from Facebook adds 0.05 to 0.11 percentage points to welfare growth per year while improvements in smartphones adds approximately 0.63 percentage points per year.
DOI: 10.11587/cqb0qa/haexfr
title: 10521_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 15 Variables, 507 Observations
DOI: 10.11587/2izf66/nxzdeo
title: 10522_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/2izf66/qiinjz
title: 10522_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.17632/wnjjn9j6nh
title: Companion DDataset for FMVM Calibration and Validation: Kazakhstan, 2015–2024 (Monthly)

description: This dataset accompanies the study “Multi-Premium Valuation in Frontier Markets: Evidence from Kazakhstan” and provides the full calibration inputs, component estimates, and validation benchmarks for the Frontier Market Valuation Model (FMVM) applied to Kazakhstan. It covers the period 2015Q1–2024Q4, with a companion monthly dataset constructed by linear interpolation for visualization and alignment with valuation anchors.

The dataset is organized in a structured Excel file and contains:

Core FMVM components: Sovereign risk premium (CRP), Liquidity premium (LP), Behavioral premium (BP), and Institutional quality premium (IQP), along with their sum (FMVM-implied cost of equity).

Baseline model scenarios: CAPM (Rf + β×GERP), CAPM+CRP, and FMVM (full specification).

Market anchors: Inverse P/E ratio and earnings yield, used for empirical validation of model estimates.

Regime flags: Indicators for four structural periods in Kazakhstan’s financial development—(i) 2015 FX float and devaluation transition, (ii) 2017–2019 stabilization and AIFC/AIX launch, (iii) 2020–2021 COVID-19 and oil price shock, and (iv) 2022–2024 unrest, tightening, and disinflation.

Cross-country comparison inputs: Benchmark estimates for Azerbaijan, Georgia, and Uzbekistan, harmonized to the same CAPM and FMVM structure for regional positioning.

The dataset supports all calibration, estimation, and out-of-sample validation exercises reported in the paper, including regression fits (Table 6), predictive error metrics (Table 6b), and comparative valuation (Table 7). All core analyses are based on quarterly data (2015Q1–2024Q4), while the monthly version ensures smoother presentation of figures (e.g., Figure 2).

By providing both raw inputs and processed FMVM outputs, the dataset allows replication of the study’s results, extension to alternative specifications (e.g., LP scaling, IQP multipliers), and further comparative research on frontier equity markets.

File format: Excel (.xlsx)
Temporal coverage: January 2015 – December 2024 (monthly companion); Q1 2015 – Q4 2024 (quarterly core)
Geographic coverage: Kazakhstan (with comparator entries for Azerbaijan, Georgia, Uzbekistan)
Intended use: Academic research, policy analysis, and replication of FMVM calibration and validation in credibility-sensitive frontier markets.
DOI: 10.11587/2izf66/lm5vsg
title: 10522_da_de_v1_0.tab

description: Core data file - STATA format - 42 Variables, 518 Observations
DOI: 10.11587/2izf66/2onfu7
title: 10522_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 42 Variables, 518 Observations
DOI: 10.17632/wnjjn9j6nh.1
title: Companion DDataset for FMVM Calibration and Validation: Kazakhstan, 2015–2024 (Monthly)

description: This dataset accompanies the study “Multi-Premium Valuation in Frontier Markets: Evidence from Kazakhstan” and provides the full calibration inputs, component estimates, and validation benchmarks for the Frontier Market Valuation Model (FMVM) applied to Kazakhstan. It covers the period 2015Q1–2024Q4, with a companion monthly dataset constructed by linear interpolation for visualization and alignment with valuation anchors.

The dataset is organized in a structured Excel file and contains:

Core FMVM components: Sovereign risk premium (CRP), Liquidity premium (LP), Behavioral premium (BP), and Institutional quality premium (IQP), along with their sum (FMVM-implied cost of equity).

Baseline model scenarios: CAPM (Rf + β×GERP), CAPM+CRP, and FMVM (full specification).

Market anchors: Inverse P/E ratio and earnings yield, used for empirical validation of model estimates.

Regime flags: Indicators for four structural periods in Kazakhstan’s financial development—(i) 2015 FX float and devaluation transition, (ii) 2017–2019 stabilization and AIFC/AIX launch, (iii) 2020–2021 COVID-19 and oil price shock, and (iv) 2022–2024 unrest, tightening, and disinflation.

Cross-country comparison inputs: Benchmark estimates for Azerbaijan, Georgia, and Uzbekistan, harmonized to the same CAPM and FMVM structure for regional positioning.

The dataset supports all calibration, estimation, and out-of-sample validation exercises reported in the paper, including regression fits (Table 6), predictive error metrics (Table 6b), and comparative valuation (Table 7). All core analyses are based on quarterly data (2015Q1–2024Q4), while the monthly version ensures smoother presentation of figures (e.g., Figure 2).

By providing both raw inputs and processed FMVM outputs, the dataset allows replication of the study’s results, extension to alternative specifications (e.g., LP scaling, IQP multipliers), and further comparative research on frontier equity markets.

File format: Excel (.xlsx)
Temporal coverage: January 2015 – December 2024 (monthly companion); Q1 2015 – Q4 2024 (quarterly core)
Geographic coverage: Kazakhstan (with comparator entries for Azerbaijan, Georgia, Uzbekistan)
Intended use: Academic research, policy analysis, and replication of FMVM calibration and validation in credibility-sensitive frontier markets.
DOI: 10.17632/jdvj22sbnr
title: Vitamin D Receptor Gene Variants in Recurrent Pregnancy Loss

description: The aim of this study is to investigate the possible links between variants of the VDR gene and recurrent Pregnancy Loss (RPL) in the Kazakhstani (Central Asian) population. Our study demonstrates an apparent lack of association between VDR genetic polymorphisms and RPL susceptibility among Kazakhstani women.
DOI: 10.11587/vudtn7/8w4xbe
title: 10523_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/vudtn7/wtqjkj
title: 10523_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.17632/jdvj22sbnr.1
title: Vitamin D Receptor Gene Variants in Recurrent Pregnancy Loss

description: The aim of this study is to investigate the possible links between variants of the VDR gene and recurrent Pregnancy Loss (RPL) in the Kazakhstani (Central Asian) population. Our study demonstrates an apparent lack of association between VDR genetic polymorphisms and RPL susceptibility among Kazakhstani women.
DOI: 10.11587/vudtn7/ctnfmt
title: 10523_da_de_v1_0.tab

description: Core data file - STATA format - 13 Variables, 501 Observations
DOI: 10.11587/vudtn7/ntfvml
title: 10523_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 13 Variables, 501 Observations
DOI: 10.17632/hbx8smbm5t
title: Dataset for: Dealing with two antagonist conservation targets: Saving the sub-alpine grasslands and yak herding in Bhutan from the invasion of protected Himalayan juniper.

description: The dataset consists of ground vegetation data from 1m x 1m square plots (50 Nos) from a sub-alpine grassland in Bhutan, collected for 3 years (2021- 2023) to assess the effects of Juniper pruning on the restoration of degraded grassland. This data supports the fndings of the research article titled, "Dealing with two antagonist conservation targets: Saving the sub-alpine grasslands and yak herding in Bhutan from the invasion of protected Himalayan juniper."
DOI: 10.6084/m9.figshare.30053755.v3
title: Affordable Housing.

description: Affordable Housing.
DOI: 10.5517/ccdc.csd.cc2ldltf
title: CCDC 2395395: Experimental Crystal Structure Determination

description: Related Article: Norio Sakai, Takahiro Yokoyama, Kento Ishida|2025|Asian J.Org.Chem|14|e202400682|doi:10.1002/ajoc.202400682
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: 10.11587/3t95yu/zuwn55
title: 10524_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.17632/hbx8smbm5t.1
title: Dataset for: Dealing with two antagonist conservation targets: Saving the sub-alpine grasslands and yak herding in Bhutan from the invasion of protected Himalayan juniper.

description: The dataset consists of ground vegetation data from 1m x 1m square plots (50 Nos) from a sub-alpine grassland in Bhutan, collected for 3 years (2021- 2023) to assess the effects of Juniper pruning on the restoration of degraded grassland. This data supports the fndings of the research article titled, "Dealing with two antagonist conservation targets: Saving the sub-alpine grasslands and yak herding in Bhutan from the invasion of protected Himalayan juniper."
DOI: 10.5517/ccdc.csd.cc2lsv9k
title: CCDC 2407159: Experimental Crystal Structure Determination

description: Related Article: Norio Sakai, Takahiro Yokoyama, Kento Ishida|2025|Asian J.Org.Chem|14|e202400682|doi:10.1002/ajoc.202400682
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: 10.11587/3t95yu/4fvj9c
title: 10524_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/3t95yu/jlqxq0
title: 10524_da_de_v1_0.tab

description: Core data file - STATA format - 24 Variables, 303 Observations
DOI: 10.11587/3t95yu/x0qzny
title: 10524_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 24 Variables, 303 Observations
DOI: 10.17632/9fgjp36mr3.1
title: Melt-carbonate metasomatism in the Sulu orogen: Implications for CO2 release in the continental subduction zone

description: This dataset presents geochemical analyses including U-Th-Pb geochronology and trace element concentrations for titanite, alongside major element compositional data for all minerals analyzed in the study.
DOI: 10.17026/dans-24e-7ckk
title: PHS centrum Vught Vught, PHS Vught

description: &lt;p&gt;BAAC heeft in opdracht van Prorail afdeling LJV een proefsleuvenonderzoek uitgevoerd in plangebied PHS Vught in Vught. De aanleiding voor het onderzoek is de voorgenomen verbreding en de verdiepte aanleg van het spoor, de bouw van een tijdelijk station en de bouw van een kinderdagverblijf in het plangebied waarbij een gerede kans bestaat dat archeologische waarden vernietigd zullen worden.&lt;/p&gt;&lt;p&gt;Het plangebied bevindt zich op een uitloper van een dekzandrug en ligt in geaccidenteerd terrein. Binnen de grenzen van het plangebied zijn vier locaties door middel van proefsleuven archeologisch onderzocht (locatie A tot en met D). Op locatie A is onder een deels intacte bodem een vindplaats vastgesteld met sporen en vondsten uit de 17e eeuw die vermoedelijk tot de aanvalslinie van Frederik Hendrik kunnen worden gerekend. Oudere (bewonings)sporen waren op deze locatie niet aanwezig.&lt;/p&gt;&lt;p&gt;Een tweede vindplaats is op locatie B vastgesteld onder een eveneens deels intacte bodem. De vindplaats wordt gevormd door paalsporen en spitsporen, zogenaamde ontginningssporen die vanaf de 18e eeuw te dateren zijn. Ook hier zijn geen oudere (bewonings)sporen aangetroffen. Op locatie C was de bodem tot in de C-horizont verstoord. Op locatie D is wel een intactbodemprofiel aangetroffen, maar was het terrein vermoedelijk te nat voor bewoning.&lt;/p&gt;&lt;p&gt;Op basis van de resultaten adviseert BAAC om vindplaats 1 te behouden middels behoud in situ en indien dit niet mogelijk is door behoud ex situ door middel van een opgraving. De overige locaties kunnen vrijgegeven worden voor verdere ontwikkelingen.&lt;/p&gt;
DOI: 10.11587/mz6mcy/7zmkmq
title: 10525_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/mz6mcy/xz13vo
title: 10525_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/mz6mcy/tppwyr
title: 10525_da_de_v1_0.tab

description: Core data file - STATA format - 32 Variables, 500 Observations
DOI: 10.11587/mz6mcy/dwamtp
title: 10525_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 32 Variables, 500 Observations
DOI: 10.11587/3veuvw/4qdic3
title: 10526_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/3veuvw/ygboot
title: 10526_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/3veuvw/1yradv
title: 10526_da_de_v1_0.tab

description: Core data file - STATA format - 26 Variables, 757 Observations
DOI: 10.11587/3veuvw/anozck
title: 10526_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 26 Variables, 757 Observations
DOI: 10.15468/dl.4erm7m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
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 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((47.5465 -25.2196,47.6434 -24.9401,46.1382 -24.9401,46.1382 -25.8059,46.3822 -25.6931,46.8647 -25.6616,47.5465 -25.2196))"
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}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032178-250827131500795/datasets/export for details.
DOI: 10.11587/qhfoot/9b53ri
title: 10527_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/qhfoot/ytnjre
title: 10527_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/qhfoot/abr00b
title: 10527_da_de_v1_0.tab

description: Core data file - STATA format - 19 Variables, 509 Observations
DOI: 10.11587/qhfoot/qphe90
title: 10527_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 19 Variables, 509 Observations
DOI: 10.11587/bxx4ft/rf0eog
title: 10528_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/bxx4ft/5wmktj
title: 10528_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/bxx4ft/ylgsw7
title: 10528_da_de_v1_0.tab

description: Core data file - STATA format - 14 Variables, 499 Observations
DOI: 10.11587/bxx4ft/x3xch4
title: 10528_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 14 Variables, 499 Observations
DOI: 10.11587/dg1lzb/ead4ok
title: 10529_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/dg1lzb/4gepcp
title: 10529_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/dg1lzb/v98uev
title: 10529_da_de_v1_0.tab

description: Core data file - STATA format - 54 Variables, 505 Observations
DOI: 10.17632/45kwypgz4z
title: Weibo Dataset

description: (1)By analyzing public discussions from Weibo hot search topics during the COVID-19 pandemic in China, along with publicly released data on topics related to information demand, this study analyzes changes in public information demands during public health emergencies.
(2)What are the core thematic dimensions of public information needs during health emergencies, and how do these needs exhibit temporal dynamic changes across different crisis phases? 
(3)How do public information needs vary spatially across regions with different epidemic exposure intensities, and do these spatial variations align with theoretical principles (e.g., distance-decay) in health geography? 
(4)Data acquisition:To investigate public information needs and assess topic engagement during the early COVID-19 pandemic, this study leveraged two complementary data sources from Sina Weibo: hot search rankings and user-generated microblog entries with relevant hashtags. A systematic web crawling approach was employed to collect 28,394 hot search entries spanning the period from December 1, 2019, to April 15, 2020. Search parameters were rigorously defined based on the COVID-19 terminology framework established by the National Population Health Science Data Center, including terms such as "Coronavirus," "COVID-19," "pneumonia," "Xinguan" (Chinese transliteration of "new crown"), "novel coronavirus," "COVID-19 pneumonia," "epidemic," "quarantine zones," and "containment measures." Using advanced search operators to enforce exact term matching within text content, a total of 907,347 relevant microblog entries were extracted from the Sina Weibo platform.The composite dataset integrates multidimensional attributes, including: content metadata(Textual content and precise timestamps), user demographics (Gender and geographic location-inferred from IP addresses), account characteristics (Verification status), engagement metrics(Repost counts, comment volumes, and likes). This methodological framework facilitates comparative analysis of Weibo hot search rankings and user-generated content, addressing both the breadth and depth of pandemic-related discourse.