cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18717/iwh.mbo4
title: Management-Buy-Outs in Ostdeutschland

description: Die Studie über Management-Buy-Outs (MBOs) untersucht einen wichtigen Teil des ostdeutschen Unternehmensbestands: Unternehmen, die im Zuge der Privatisierung aus dem Verkauf von Geschäftsanteilen oder Vermögensgegenständen an das vorher angestellte ostdeutsche Management hervorgegangen sind. Sie hatten im Transformationsprozess von der Plan- zur Marktwirtschaft eine hohe Bedeutung.Das IWH hat im Sommer 1995 eine umfassende Untersuchung dieser MBOs durchgeführt. Dabei standen ihre wirtschaftliche Lage, einzelne betriebswirtschaftliche Felder und Problembereiche – wie beispielsweise Absatz, Organisation und Eigenkapital – sowie ihre Zukunftsperspektiven und der wirtschaftspolitische Handlungsbedarf im Mittelpunkt. 
description: postalische Befragung
description: alle im November 1995 in Ostdeutschland existierenden MBOs (ca. 1800)
description: Totalerhebung
DOI: 10.60600/yu/clawet/k5rdoz
title: 0994.wav

description: :unav
DOI: 10.34703/gzx1-9v95/jxvplr/xgabtz
title: KeysTransectsPlantsSpeciesCountsPerSiteForDataverse.txt

description: :unav
DOI: 10.60600/yu/clawet/vbwexp
title: 1049.wav

description: :unav
DOI: 10.15468/dl.rbfdgc
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Isostichopus badionotus (Selenka, 1867)"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091571-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34703/gzx1-9v95/jxvplr
title: Replication Data for: Ants and plants with extrafloral nectaries in rockland habitats of the Florida Keys

description: data from study looking at ant activity and occurrence of plants with extrafloral nectaries in three habitats on Big Pine Key: open pine rockland, shrubby pine rockland, and hardwood hammock
DOI: 10.34703/gzx1-9v95/jxvplr/bxto43
title: KeysAntBaitData.txt

description: :unav
DOI: 10.15468/dl.sxze4w
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Ophiothrix synoecina Schoppe, 1996"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091570-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/cnsdf6
title: 0904.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/xr7rpy
title: 0606.wav

description: :unav
DOI: 10.25592/uhhfdm.14439
title: An Interview About Trade in Georgetown (NCAC_RDD_TAPE_0452A_B)

description: Trade in Georgetown


<em><sup>Alternative names: Sidibeh, Kebba, Alhagi, Alhagie, Alhajie, Bakary, Bakary, Bakery</sup></em>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.25592/uhhfdm.14455
title: An Interview About Trade in Georgetown (NCAC_RDD_TAPE_0452A_B)

description: Trade in Georgetown


<em><sup>Alternative names: Sidibeh, Kebba, Alhagi, Alhagie, Alhajie, Bakary, Bakary, Bakery</sup></em>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.60600/yu/clawet/n7axym
title: 0811.wav

description: :unav
DOI: 10.5281/zenodo.12508481
title: Coherence-controlled chaotic soliton bunch

description: The experimental and numerical data for the paper "Coherence-controlled chaotic soliton bunch".
DOI: 10.5281/zenodo.12508482
title: Coherence-controlled chaotic soliton bunch

description: The experimental and numerical data for the paper "Coherence-controlled chaotic soliton bunch".
DOI: 10.7805/ebdc-bep-2017
title: EBDC Business Expectations Panel (2017)

description: Das EBDC Business Expectations Panel, BEP, besteht aus den wichtigsten Variablen des ifo Konjunkturtests und den entsprechenden Bilanzdaten aus den Unternehmensdatenbanken Amadeus (Bureau van Dijk) und Hoppenstedt (Hoppenstedt Firmeninformationen GmbH). Der ifo Konjunkturtest wird monatlich vom ifo Institut erhoben. Er setzt sich aus den EInzelerhebungen für die Sektoren Bau, Dienstleister, Handel und Verarbeitendes Gewerbe zusammen. Kern des Fragenprogramms sind qualitative Urteile zu aktuellen ökonomischen Parametern der Unternehmen wie z.B. der allgemeinen Situation, dem Umsatz, der Nachfrage, Kreditrestriktionen oder den Beschäftigten sowie Fragen zu den Entwicklungen in den kommenden Monaten, u.a. den Geschäfts-, Beschäftigten- oder Preiserwartungen. Die Bilanzdaten der Unternehmensdatenbanken wurden mit Hilfe der Programms Matching-Software MTB (Merge Toolbox), welche am „Center for quantitative Methods and Survey Research“ der Universität Konstanz entwickelt wurde dazu gespielt.
description: The EBDC Business Expectations Panel, BEP, consists of the main variables of the ifo Business Survey and the corresponding balance sheet data from firm databases Amadeus (Bureau vanDijk) and Hoppenstedt(Hoppenstedt Information GmbH).The ifo Business Survey has been conducted by the ifo Institute on a monthly basis. The core of the questionnaire consists of qualitative assessments on the current economic parameters of companies such as, for example, the general situation, turnover, demand, credit constraints  and staff numbers, as well as questions on trends in the forthcoming months in areas like business, employment and price expectations. The financial variables were merged by using the matching software MTB (Merge Toolbox) developed at the Center for Quantitative Methods and Survey Research of the University of Konstanz.
description: Self-administered questionnaire
DOI: 10.7805/ebdc-binp-2016
title: EBDC Business Innovation Panel (2016)

description: Das EBDC Business Innovation Panel, BIP, besteht aus den wichtigsten Variablen des ifo Innovationstests und den entsprechenden Bilanzdaten aus den Unternehmensdatenbanken Amadeus (Bureau van Dijk) und Hoppenstedt (Hoppenstedt Firmeninformationen GmbH). Der ifo Innovationstest für das Verarbeitende Gewerbe wird seit 1982 jährlich im Verarbeitenden Gewerbe vom ifo Institut erhoben. Kern des Fragenprogramms sind qualitative und quantifizierte Angaben zur Innovationstätigkeit der Unternehmen, insbesondere zu den Innovationszielen und –aufwendungen. Des Weiteren geben die Firmen Informationen zu Innovationshemmnissen sowie –impulsen (intern/extern). Die Bilanzdaten der Unternehmensdatenbanken wurden mit Hilfe der Programms Matching-Software MTB (Merge Toolbox), welche am „Center for quantitative Methods and Survey Research“ der Universität Konstanz entwickelt wurde dazu gespielt.
description: The EBDC Business Innovation Panel, BIP, consists of the main variables of the Ifo Innovation Survey and the corresponding balance sheet data from firm databases Amadeus (Bureau vanDijk) and Hoppenstedt(Hoppenstedt Information GmbH). The Ifo Innovation Survey for Industry has been conducted by the Ifo Institute on an annual basis since 1982. Qualitative and quantitative responses on the innovativeness of companies, particularly their innovation goals and expenditure, constitute the main focus of the survey. Companies are also asked to provide information on innovation constraints and (internal/external) impulses. The financial variables were merged by using the matching software MTB (Merge Toolbox) developed at the Center for Quantitative Methods and Survey Research of the University of Konstanz.
description: Self-administered questionnaire
DOI: 10.15468/dl.vt535z
title: Occurrence Download

description: A dataset containing 265637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex pilulifera L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 265637 records from 936 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091495-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/yhjcj3
title: 1010.wav

description: :unav
DOI: 10.15468/dl.d36d4f
title: Occurrence Download

description: A dataset containing 544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Delphinidae"
 ]
}

 The dataset includes 544 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091574-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86nq4c
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Isostichopus badionotus (Selenka, 1867)"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091573-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30226972.v1
title: NIR-driven Nanomotors-based Microneedles for the Active Therapy of Bacterial Infected Acne

description: The source data produced by this study can be found in the Supplementary Information/Source Data file.
DOI: 10.6084/m9.figshare.28930366
title: Integrating AI and OR for investment decision-making in emerging digital lending businesses: a risk-return multi-objective optimization approach

description: This study investigates the application of operational research techniques to optimize investment decisions in peer-to-peer (P2P) lending platforms, focusing on balancing risk and return for investors. The study proposes a multi-objective decision-making model that leverages data from the Lending Club, the largest P2P marketplace in the United States, to minimize risk and maximize returns. To address the data imbalance, the model uses classification techniques including logistic regression, decision trees, random forests, and light gradient boosting machines (LGBM), which are supported by the synthetic minority oversampling technique (SMOTE). While a convolutional neural network (CNN) predicts net present value (NPV), logistic regression is used to assess risk. The nondominated sorting genetic algorithm II (NSGA-II) is then used for portfolio optimization, producing returns of over 7% with risk levels that are comparable with conventional methods. Sensitivity analysis highlights the importance of investment allocation strategies by emphasizing that portfolio returns are more sensitive to changes in investments than risk. This study contributes to the operational research literature on risk management, investment modeling, and practical decision support systems in financial services by integrating advanced AI-based computational methods and optimization tools.
HIGHLIGHTSThe multi-objective model seeks to balance risk reduction with return maximization.The LGBM, logistic regression, random forest, and decision tree models are assessed.The NSGA-II algorithm is used to optimize the portfolio model.A sensitivity analysis is used to evaluate the investment amounts.The results provide wisdom on return optimization and risk reduction in P2P lending. The multi-objective model seeks to balance risk reduction with return maximization. The LGBM, logistic regression, random forest, and decision tree models are assessed. The NSGA-II algorithm is used to optimize the portfolio model. A sensitivity analysis is used to evaluate the investment amounts. The results provide wisdom on return optimization and risk reduction in P2P lending.
DOI: 10.6084/m9.figshare.28930366.v1
title: Integrating AI and OR for investment decision-making in emerging digital lending businesses: a risk-return multi-objective optimization approach

description: This study investigates the application of operational research techniques to optimize investment decisions in peer-to-peer (P2P) lending platforms, focusing on balancing risk and return for investors. The study proposes a multi-objective decision-making model that leverages data from the Lending Club, the largest P2P marketplace in the United States, to minimize risk and maximize returns. To address the data imbalance, the model uses classification techniques including logistic regression, decision trees, random forests, and light gradient boosting machines (LGBM), which are supported by the synthetic minority oversampling technique (SMOTE). While a convolutional neural network (CNN) predicts net present value (NPV), logistic regression is used to assess risk. The nondominated sorting genetic algorithm II (NSGA-II) is then used for portfolio optimization, producing returns of over 7% with risk levels that are comparable with conventional methods. Sensitivity analysis highlights the importance of investment allocation strategies by emphasizing that portfolio returns are more sensitive to changes in investments than risk. This study contributes to the operational research literature on risk management, investment modeling, and practical decision support systems in financial services by integrating advanced AI-based computational methods and optimization tools.
HIGHLIGHTSThe multi-objective model seeks to balance risk reduction with return maximization.The LGBM, logistic regression, random forest, and decision tree models are assessed.The NSGA-II algorithm is used to optimize the portfolio model.A sensitivity analysis is used to evaluate the investment amounts.The results provide wisdom on return optimization and risk reduction in P2P lending. The multi-objective model seeks to balance risk reduction with return maximization. The LGBM, logistic regression, random forest, and decision tree models are assessed. The NSGA-II algorithm is used to optimize the portfolio model. A sensitivity analysis is used to evaluate the investment amounts. The results provide wisdom on return optimization and risk reduction in P2P lending.
DOI: 10.5281/zenodo.15574554
title: Dataset for the paper "Quo Vadis, Laboratorium --- (Non-)Pervasiveness of Cross-Reality Laboratories in German Educational Research"

description: This dataset contains the data used in the paper "Quo Vadis, Laboratorium --- (Non-)Pervasiveness of Cross-Reality Laboratories in German Educational Research", which is accepted and to be published at the IEEE German Education Conference (GECon) 2025. The paper contains a survey of the research of Cross-Reality Laboratories in Germany. Both files are identical in content.

The columns are grouped as following: Paper metadata, inclusion criteria, exclusion criteria, result if the paper is included, type of cross-reality lab (based on May et al (2023)), didactic model (based on Terhart (2008)), discipline, evaluation type (including sample size if mentioned), evaluation result, educational level.

Only papers were analysed which were included after inclusion/exclusion criteria were applied.

 

The full paper describing the dataset can be found at https://doi.org/10.1109/GECon64629.2025.11369357.
DOI: 10.5281/zenodo.15574553
title: Dataset for the paper "Quo Vadis, Laboratorium --- (Non-)Pervasiveness of Cross-Reality Laboratories in German Educational Research"

description: This dataset contains the data used in the paper "Quo Vadis, Laboratorium --- (Non-)Pervasiveness of Cross-Reality Laboratories in German Educational Research", which is accepted and to be published at the IEEE German Education Conference (GECon) 2025. The paper contains a survey of the research of Cross-Reality Laboratories in Germany. Both files are identical in content.

The columns are grouped as following: Paper metadata, inclusion criteria, exclusion criteria, result if the paper is included, type of cross-reality lab (based on May et al (2023)), didactic model (based on Terhart (2008)), discipline, evaluation type (including sample size if mentioned), evaluation result, educational level.

Only papers were analysed which were included after inclusion/exclusion criteria were applied.

 

The full paper describing the dataset can be found at https://doi.org/10.1109/GECon64629.2025.11369357.
DOI: 10.15468/dl.kw7jhm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudocrossidium porphyreoneurum",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023841-260208012135463/datasets/export for details.
DOI: 10.5281/zenodo.18667491
title: Processed DSMC simulation data for "Finite-Footprint Lateral Leakage Constrains Acoustic-Wave Heating at Mars' Exobase

description: This dataset contains the processed macroscopic output fields from six two-dimensional spherical Direct Simulation Monte Carlo (DSMC) simulations of acoustic-wave propagation in Mars' upper atmosphere, as described in: Pérez-Chávez, J. A., Tucker, O. J., Carberry Mogan, S. R., Johnson, R. E., & Blaszczak-Boxe, C. (2026). Finite-Footprint Lateral Leakage Constrains Acoustic-Wave Heating at Mars' Exobase: 2D Spherical DSMC Simulations. Journal of Geophysical Research: Planets (submitted).

The dataset includes time-resolved number density and kinetic temperature fields for simulations S1-S6 (128-1024 azimuthal cells), along with simulation metadata and pre-computed reference profiles for 1D spherical comparisons. 

The analysis code used to process these data and generate manuscript figures is archived separately at Zenodo (10.5281/zenodo.18667659) and developed at GitHub: https://github.com/AstroJosePC/2d-dsmc-wave-analysis
DOI: 10.5281/zenodo.18667492
title: Processed DSMC simulation data for "Finite-Footprint Lateral Leakage Constrains Acoustic-Wave Heating at Mars' Exobase

description: This dataset contains the processed macroscopic output fields from six two-dimensional spherical Direct Simulation Monte Carlo (DSMC) simulations of acoustic-wave propagation in Mars' upper atmosphere, as described in: Pérez-Chávez, J. A., Tucker, O. J., Carberry Mogan, S. R., Johnson, R. E., & Blaszczak-Boxe, C. (2026). Finite-Footprint Lateral Leakage Constrains Acoustic-Wave Heating at Mars' Exobase: 2D Spherical DSMC Simulations. Journal of Geophysical Research: Planets (submitted).

The dataset includes time-resolved number density and kinetic temperature fields for simulations S1-S6 (128-1024 azimuthal cells), along with simulation metadata and pre-computed reference profiles for 1D spherical comparisons. 

The analysis code used to process these data and generate manuscript figures is archived separately at Zenodo (10.5281/zenodo.18667659) and developed at GitHub: https://github.com/AstroJosePC/2d-dsmc-wave-analysis
DOI: 10.15468/dl.jm48fz
title: Occurrence Download

description: A dataset containing 2386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bivalvia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-60 -90,-30 -90,-30 -60,-60 -60,-60 -90))"
 ]
}

 The dataset includes 2386 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012389-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17337036
title: SARS-CoV-2 Infektionen in Deutschland

description: Im Datensatz "SARS-CoV-2 Infektionen in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu SARS-CoV-2 Infektionen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Landkreisebene zu bestätigten Infektionen, Todesfällen und Genesungen, differenziert nach Altersgruppen und Geschlecht. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.5517/cczrhry
title: CCDC 916321: Experimental Crystal Structure Determination

description: Related Article: Malleswara Rao Kuram, M. Bhanuchandra, Akhila K. Sahoo|2013|Angew.Chem.,Int.Ed.|52|4607|doi:10.1002/anie.201210217
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/cczrhsz
title: CCDC 916322: Experimental Crystal Structure Determination

description: Related Article: Malleswara Rao Kuram, M. Bhanuchandra, Akhila K. Sahoo|2013|Angew.Chem.,Int.Ed.|52|4607|doi:10.1002/anie.201210217
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/cczrhqx
title: CCDC 916320: Experimental Crystal Structure Determination

description: Related Article: Malleswara Rao Kuram, M. Bhanuchandra, Akhila K. Sahoo|2013|Angew.Chem.,Int.Ed.|52|4607|doi:10.1002/anie.201210217
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.cczrl3d
title: CCDC 916394: Experimental Crystal Structure Determination

description: Related Article: Hassan Norouzi-Arasi, Amlan K. Pal, Samik Nag, Daniel Chartrand, Garry S. Hanan|2016|Chem.Commun.|52|12159|doi:10.1039/C6CC06496E
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.cczrn0c
title: CCDC 916453: Experimental Crystal Structure Determination

description: Related Article: Hui Zheng, Yin‐Shan Meng, Guang‐Li Zhou, Chun‐Ying Duan, Osamu Sato, Shinya Hayami, Yi Luo, Tao Liu|2018|Angew.Chem.,Int.Ed.|57|8468|doi:10.1002/anie.201802774
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.