cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2pkwcj
title: CCDC 2489838: Experimental Crystal Structure Determination

description: Related Article: Kyrill Yu. Suponitsky,  Akim V. Shmal’ko,  Sergey A. Anufriev,  Igor B. Sivaev|2025|Molbank|2025|M2071|doi:10.3390/M2071
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.cc2pn9zn
title: CCDC 2492182: Experimental Crystal Structure Determination

description: Related Article: Kristina A. Lotsman, Sofia S. Filippova, Vadim Yu. Kukushkin, Regina M. Islamova|2025|Polymers|17|2729|doi:10.3390/polym17202729
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.cc2pp47s
title: CCDC 2492965: Experimental Crystal Structure Determination

description: Related Article: Peicheng Yang, Yi Shen, Jinghan Gui|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-6f4bk
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.cc2pp48t
title: CCDC 2492966: Experimental Crystal Structure Determination

description: Related Article: Peicheng Yang, Yi Shen, Jinghan Gui|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-6f4bk
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.cc2pp49v
title: CCDC 2492967: Experimental Crystal Structure Determination

description: Related Article: Peicheng Yang, Yi Shen, Jinghan Gui|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-6f4bk
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.cc2pp6cz
title: CCDC 2493031: Experimental Crystal Structure Determination

description: Related Article: Yizhou Wang, Song Liu, Qiuyue Zhang, Quanchao Wang, Yanping Ma, Qingbin Liu, Gregory A. Solan, Wen-Hua Sun|2025|Organometallics|||doi:10.1021/acs.organomet.5c00394
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.cc2pp6d0
title: CCDC 2493032: Experimental Crystal Structure Determination

description: Related Article: Yizhou Wang, Song Liu, Qiuyue Zhang, Quanchao Wang, Yanping Ma, Qingbin Liu, Gregory A. Solan, Wen-Hua Sun|2025|Organometallics|||doi:10.1021/acs.organomet.5c00394
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.cc2pp6f1
title: CCDC 2493033: Experimental Crystal Structure Determination

description: Related Article: Yizhou Wang, Song Liu, Qiuyue Zhang, Quanchao Wang, Yanping Ma, Qingbin Liu, Gregory A. Solan, Wen-Hua Sun|2025|Organometallics|||doi:10.1021/acs.organomet.5c00394
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.cc2pp6g2
title: CCDC 2493034: Experimental Crystal Structure Determination

description: Related Article: Yizhou Wang, Song Liu, Qiuyue Zhang, Quanchao Wang, Yanping Ma, Qingbin Liu, Gregory A. Solan, Wen-Hua Sun|2025|Organometallics|||doi:10.1021/acs.organomet.5c00394
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.wpt2au
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.8 -1.759821, 103.729704 -1.765386, 103.661137 -1.781946, 103.595987 -1.809092, 103.535857 -1.846157, 103.482227 -1.892229, 103.436417 -1.946173, 103.399555 -2.006663, 103.372548 -2.072209, 103.356064 -2.141198, 103.35051 -2.211932, 103.356022 -2.282669, 103.372468 -2.351667, 103.399444 -2.417228, 103.436287 -2.477736, 103.482091 -2.531702, 103.535728 -2.577794, 103.595877 -2.614877, 103.661057 -2.642039, 103.729662 -2.658608, 103.8 -2.664176, 103.870338 -2.658608, 103.938943 -2.642039, 104.004123 -2.614877, 104.064272 -2.577794, 104.117909 -2.531702, 104.163713 -2.477736, 104.200556 -2.417228, 104.227532 -2.351667, 104.243978 -2.282669, 104.24949 -2.211932, 104.243936 -2.141198, 104.227452 -2.072209, 104.200445 -2.006663, 104.163583 -1.946173, 104.117773 -1.892229, 104.064143 -1.846157, 104.004013 -1.809092, 103.938863 -1.781946, 103.870296 -1.765386, 103.8 -1.759821))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046855-251120083545085/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2pzq3j
title: CCDC 2502168: Experimental Crystal Structure Determination

description: Related Article: A. Kester, T. King, M.R. Bond|2025|IUCrData|10|x251007|doi:10.1107/S2414314625010077
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.6pw72b
title: Occurrence Download

description: A dataset containing 36974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cydalima perspectalis",
 "Year 2025-2025"
 ]
}

 The dataset includes 36974 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046856-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/90a1d562-8496-44f3-b8a5-5610ddc871d5
title: Data Supporting "RDM 101 Impact Evaluation: A Study on Training Effectiveness and Research Practice Changes"

description: This record describes the dataset underpinning the report “RDM 101 Impact Evaluation: A Study on Training Effectiveness and Research Practice Changes” (DOI provided below), an evaluation of the short- and long-term impact of TU Delft’s Research Data Management (RDM101) training for PhD candidates. The dataset consists of: data collected via Graduate School feedback forms (2020–2025), pre- and post-training survey questionnaires and responses from four course cohorts (2024/2025), codebooks for qualitative data (including semi-structured interviews), and related documentation.The raw data contain potentially confidential and identifiable personal information (particularly in open-text responses and interview data). Therefore, open-text answers from Graduate School feedback forms and pre- and post-training surveys, as well as raw interview files and transcripts, are not included in this package. Instead, we provide the anonymised, cleaned quantitative datasets and the qualitative codebooks describing the categories used in the analysis and presented in the report.The dataset includes both quantitative and qualitative components. Quantitative variables capture shifts in RDM awareness, storage practices, understanding of FAIR principles, Data Management Plan readiness, and intentions to publish data and code. Qualitative components provide insights into participants’ motivations, perceived relevance, behavioural change, mindset shift, and experiences during the course. Together, these data form the foundation for the mixed-methods analysis reported in the study.<strong>Related software: </strong>The code used for data analysis is available at: 10.4121/f7e9b088-cf91-464d-a6a9-772fde5d8bff<strong>Acknoledgments</strong>We thank Nicolas Dintzner (TPM Data Steward) for his expert support with the Data Management Plan, consent materials, and the HREC process for this project.A big thanks to Judith Linnemann-Karel from TU Delft Central Graduate School who took the time to provide us with the feedback forms data in the format we needed for this study.<strong>Contact Information</strong>For questions, issues, or contributions, contact TU Delft Library Research Data and Software Training Team rdmtraining-lib@tudelft.nl.
DOI: 10.4121/90a1d562-8496-44f3-b8a5-5610ddc871d5.v1
title: Data Supporting "RDM 101 Impact Evaluation: A Study on Training Effectiveness and Research Practice Changes"

description: This record describes the dataset underpinning the report “RDM 101 Impact Evaluation: A Study on Training Effectiveness and Research Practice Changes” (DOI provided below), an evaluation of the short- and long-term impact of TU Delft’s Research Data Management (RDM101) training for PhD candidates. The dataset consists of: data collected via Graduate School feedback forms (2020–2025), pre- and post-training survey questionnaires and responses from four course cohorts (2024/2025), codebooks for qualitative data (including semi-structured interviews), and related documentation.The raw data contain potentially confidential and identifiable personal information (particularly in open-text responses and interview data). Therefore, open-text answers from Graduate School feedback forms and pre- and post-training surveys, as well as raw interview files and transcripts, are not included in this package. Instead, we provide the anonymised, cleaned quantitative datasets and the qualitative codebooks describing the categories used in the analysis and presented in the report.The dataset includes both quantitative and qualitative components. Quantitative variables capture shifts in RDM awareness, storage practices, understanding of FAIR principles, Data Management Plan readiness, and intentions to publish data and code. Qualitative components provide insights into participants’ motivations, perceived relevance, behavioural change, mindset shift, and experiences during the course. Together, these data form the foundation for the mixed-methods analysis reported in the study.<strong>Related software: </strong>The code used for data analysis is available at: 10.4121/f7e9b088-cf91-464d-a6a9-772fde5d8bff<strong>Acknoledgments</strong>We thank Nicolas Dintzner (TPM Data Steward) for his expert support with the Data Management Plan, consent materials, and the HREC process for this project.A big thanks to Judith Linnemann-Karel from TU Delft Central Graduate School who took the time to provide us with the feedback forms data in the format we needed for this study.<strong>Contact Information</strong>For questions, issues, or contributions, contact TU Delft Library Research Data and Software Training Team rdmtraining-lib@tudelft.nl.
DOI: 10.34894/drkmll
title: Narratives on Career Development: A Writing Guide for Academics

description: &lt;p dir=\"ltr\"&gt;These are inspirational guidelines for writing professional career narratives in the EUR Development cycle for academics. These guidelines provide additional support for those undergoing this process. This is part of adopting narratives within EUR for academic staff and in the context of Recognition & Rewards (R&R). This tool is useful before or during Development conversations or in other processes where narratives are being requested such as grant funding applications and promotions.&lt;/p&gt;
description: If you use this dataset, please cite: Recognition & Rewards. (2025). 
 <i>"Narratives on Career Development: A Writing Guide for Academics"</i> 
 (Version V2) [Online resource]. DataverseNL. 
 https://doi.org/10.34894/DRKMLL



This entry is a three-files data package totaling 3.07 MB, containing files in .pdf and .txt formats.
description: This is no longer a metadata-only release; the material has been added and the README has been updated to reflect the changes.
DOI: 10.15468/dl.j7vbmv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.48 -1.751821, 111.409704 -1.757386, 111.341138 -1.773946, 111.275988 -1.801092, 111.215859 -1.838157, 111.162229 -1.884229, 111.116419 -1.938173, 111.079556 -1.998663, 111.052551 -2.064209, 111.036067 -2.133198, 111.030512 -2.203932, 111.036025 -2.274669, 111.052471 -2.343668, 111.079447 -2.409228, 111.11629 -2.469737, 111.162093 -2.523702, 111.21573 -2.569794, 111.275879 -2.606877, 111.341058 -2.634039, 111.409662 -2.650608, 111.48 -2.656177, 111.550338 -2.650608, 111.618942 -2.634039, 111.684121 -2.606877, 111.74427 -2.569794, 111.797907 -2.523702, 111.84371 -2.469737, 111.880553 -2.409228, 111.907529 -2.343668, 111.923975 -2.274669, 111.929488 -2.203932, 111.923933 -2.133198, 111.907449 -2.064209, 111.880444 -1.998663, 111.843581 -1.938173, 111.797771 -1.884229, 111.744141 -1.838157, 111.684012 -1.801092, 111.618862 -1.773946, 111.550296 -1.757386, 111.48 -1.751821))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046857-251120083545085/datasets/export for details.
DOI: 10.23668/psycharchives.21464
title: The potential of napping in automated driving and user preferences for wake-up concepts – an online-study

description: In automated driving, drivers may sleep during rides, making it important to study napping preferences and wake-up scenarios for human-centered system design. We conducted an online study with 280 participants, balanced by age and gender, examin-ing how often, when, and how long individuals would nap if given the opportunity. The study also explored preferred wake-up methods when the vehicle nears the end of its operational design domain. Using a mixed 2x2 design, participants were assigned to one of two travel purposes (“commuting” vs. “holiday trip”) and two minimal risk condi-tions (rest area vs. hard shoulder). Results showed that 40% intended to sleep during automated driving, highlighting strong interest in in-car sleeping. Wake-up preferences varied by travel purpose and minimal risk condition, with many favoring awakening before the drive ended. Participants also anticipated sleep inertia and desired post-wake-up support. The findings allow suggestions for designing wake-up concepts that mitigate sleep inertia.
DOI: 10.15468/dl.dhfkqr
title: Occurrence Download

description: A dataset containing 1764 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.31953 41.32626,1.41695 41.32626,1.41695 41.42533,1.31953 41.42533,1.31953 41.32626))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2022-2024"
 ]
}

 The dataset includes 1764 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046860-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17896199
title: Referensi UAS TeoKom
DOI: 10.5281/zenodo.17896198
title: Referensi UAS TeoKom
DOI: 10.15468/dl.b5pwxw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.087 -1.749821, 101.016704 -1.755386, 100.948138 -1.771946, 100.882988 -1.799092, 100.822859 -1.836157, 100.769229 -1.882229, 100.723419 -1.936173, 100.686557 -1.996663, 100.659551 -2.062209, 100.643067 -2.131198, 100.637513 -2.201932, 100.643025 -2.272669, 100.659471 -2.341668, 100.686447 -2.407228, 100.72329 -2.467737, 100.769093 -2.521702, 100.82273 -2.567794, 100.882879 -2.604878, 100.948058 -2.632039, 101.016662 -2.648608, 101.087 -2.654177, 101.157338 -2.648608, 101.225942 -2.632039, 101.291121 -2.604878, 101.35127 -2.567794, 101.404907 -2.521702, 101.45071 -2.467737, 101.487553 -2.407228, 101.514529 -2.341668, 101.530975 -2.272669, 101.536487 -2.201932, 101.530933 -2.131198, 101.514449 -2.062209, 101.487443 -1.996663, 101.450581 -1.936173, 101.404771 -1.882229, 101.351141 -1.836157, 101.291012 -1.799092, 101.225862 -1.771946, 101.157296 -1.755386, 101.087 -1.749821))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046861-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17897729
title: The Spanish Fiscal Transition dataset

description: The Spanish Fiscal Transition dataset (Spanish tax revenue, 1958-1990)

This file presents data on Spanish tax revenue constructed for my PhD dissertation. It considers the total of public administrations (thus including the central, regional and local levels, as well as Social Security). Free to use, making reference to the studies indicated in the first sheet.
DOI: 10.5281/zenodo.17897730
title: The Spanish Fiscal Transition dataset

description: The Spanish Fiscal Transition dataset (Spanish tax revenue, 1958-1990)

This file presents data on Spanish tax revenue constructed for my PhD dissertation. It considers the total of public administrations (thus including the central, regional and local levels, as well as Social Security). Free to use, making reference to the studies indicated in the first sheet.
DOI: 10.5281/zenodo.17897928
title: Polychromy Material Appearance Dataset 3

description: Polychromy Material Appearance Dataset 3
DOI: 10.5281/zenodo.17829753
title: Polychromy Material Appearance Dataset 3

description: Polychromy Material Appearance Dataset 3
DOI: 10.5281/zenodo.17897382
title: Open Data Set for the article Verdú, Carchano, Farinós (2024). Arbitrage opportunities and event impacts on Spanish rights issues, Applied Economics Letters, 31:5, 401-421.

description: File "Verdu_Carchano_Farinos_2024_Data_Arbitrage_STES.csv" contains, in addition to factors and characteristics specific to the equity offering and the issuing firm, the daily and aggregated returns of the proposed arbitrage strategies, as well as the abnormal returns estimated for each of the six relevant events studied.

File "Verdu_Carchano_Farinos_2024_Data_LTES.csv" contains the time series of the portfolios formed by the equity offerings studied, included according to different criteria, as well as the factors with which the different proposed models will be estimated.
DOI: 10.5281/zenodo.17897381
title: Open Data Set for the article Verdú, Carchano, Farinós (2024). Arbitrage opportunities and event impacts on Spanish rights issues, Applied Economics Letters, 31:5, 401-421.

description: File "Verdu_Carchano_Farinos_2024_Data_Arbitrage_STES.csv" contains, in addition to factors and characteristics specific to the equity offering and the issuing firm, the daily and aggregated returns of the proposed arbitrage strategies, as well as the abnormal returns estimated for each of the six relevant events studied.

File "Verdu_Carchano_Farinos_2024_Data_LTES.csv" contains the time series of the portfolios formed by the equity offerings studied, included according to different criteria, as well as the factors with which the different proposed models will be estimated.
DOI: 10.5281/zenodo.17897695
title: Structural Phase Transition and Cooperative Luminescence in K3Yb(PO4)2:Eu3+ for Multimodal Down-shifting and Up-converting Luminescence Thermometry

description: Dataset for publication: A. Javaid, M. Szymczak, D. Szymanski, L. Marciniak, Structural Phase Transition and Cooperative Luminescence in K3Yb(PO4)2:Eu3+ for Multimodal Down-shifting and Up-converting Luminescence Thermometry
DOI: 10.5281/zenodo.17897696
title: Structural Phase Transition and Cooperative Luminescence in K3Yb(PO4)2:Eu3+ for Multimodal Down-shifting and Up-converting Luminescence Thermometry

description: Dataset for publication: A. Javaid, M. Szymczak, D. Szymanski, L. Marciniak, Structural Phase Transition and Cooperative Luminescence in K3Yb(PO4)2:Eu3+ for Multimodal Down-shifting and Up-converting Luminescence Thermometry
DOI: 10.15468/dl.fxxbd6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is ",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen, Human Observation, Material sample, Living Specimen)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046865-251120083545085/datasets/export for details.
DOI: 10.6084/m9.figshare.30858479
title: High-order virtual gain for optical loss compensation in plasmonic metamaterials

description: Expermental data