cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gfck77w5jm.3
title: Strong Light-Matter Coupling and Field Quantization in a Dinickel Molecular Resonator

description: Here we report the data collected by the conventional spectroscopy. The raw data generalized from the instruments have been uploaded. And they have been restored in .txt and .xlsx files.
DOI: 10.17632/sgknk866mx
title: Research data

description: Questionnaire data for quantitative research
DOI: 10.17632/sgknk866mx.1
title: Research data

description: Questionnaire data for quantitative research
DOI: 10.5281/zenodo.17715563
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp370 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17715564
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp370 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.15468/dl.xa3f4x
title: Occurrence Download

description: A dataset containing 158 records in GBIF matching the query:
SELECT
 "year",
 COUNT(*) occurrences
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.publishingorgkey = '93b04600-b4e3-4a9c-9a16-48815a67dbca'
 AND NOT occurrence.basisofrecord IN ('LIVING_SPECIMEN')
 AND occurrence."year" IS NOT NULL
GROUP BY
 occurrence."year"

 The dataset's 158 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014035-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/cvwi6n
title: Archeologisch inventariserend veldonderzoek, verkennende fase door middel van boringen Zwembad De Roerdomp te Roermond (Gemeente Roermond)

description: &lt;p&gt;In de periode augustus – oktober 2025 is door Aeres Milieu een archeologisch verkennend booronderzoek uitgevoerd aan de Achilleslaan 2c te Roermond, in de gelijknamige gemeente. 
Aanleiding hiertoe betreft de voorgenomen sloop van enkele kleine bijgebouwen, de uitbreiding van de technische ruimte en de aanleg van een beregeningsinstallatie, een skillsgarden en een wadi. De diepte van de toekomstige bodemverstoring is op dit moment onbekend. Er wordt uitgegaan van een standaard funderingsdiepte zonder onderkeldering tot ten minste 80 centimeter (vorstvrije diepte) beneden maaiveld. Ten behoeve van de aanleg van de beregeningsinstallatie, de skillsgarden en de wadi is de bodemverstoring niet bekend, maar wordt uitgegaan van een bodemverstoring van minimaal 40-50 centimeter beneden maaiveld.
De onderzoekslocatie ligt volgens de Archeologische Beleidskaart van de gemeente Roermond (2011) in een Gebied met een hoge archeologische verwachting. Er is binnen het Omgevingsloket echter geen archeologische dubbelbestemming opgenomen.&lt;/p&gt;&lt;p&gt;
Op basis van het uitgevoerd verkennend veldonderzoek door middel van boringen kan worden gesteld dat de bodemopbouw binnen het plangebied (grotendeels) intact is. De natuurlijke ondergrond bestaat uit oeverafzettingen van de Maas. Op de natuurlijke afzettingen is een verbruinde laag aangetroffen. Als gevolg van de verbruining van de bodem zijn archeologische sporen zonder insluitsels moeilijk of zelfs niet meer zichtbaar en dan voornamelijk als vondstconcentraties. De (middel)hoge verwachting voor de periode mesolithicum tot en met de nieuwe tijd kan gehandhaafd blijven. 
 Voor het plangebied wordt om bovenstaande redenen een archeologisch vervolgonderzoek noodzakelijk geacht in de vorm van een proefsleuvenonderzoek.&lt;/p&gt;&lt;p&gt;
De resultaten van dit onderzoek zijn getoetst door de bevoegde overheid (gemeente Roermond), die op basis van het uitgebrachte advies een besluit zal nemen. Wij willen de opdrachtgever erop wijzen dat dit selectieadvies nog niet betekent dat er al bodemverstorende activiteiten of daarop voorbereidende activiteiten kunnen worden ondernomen. &lt;/p&gt;&lt;p&gt;
Het uitgevoerde onderzoek is verricht conform de gestelde eisen en gebruikelijke methoden. Het onderzoek is gericht op het inzichtelijk maken van de toestand van het bodemarchief. Hiermee kan de beschadiging, dan wel vernietiging, als gevolg van de voorgenomen verstoring van een mogelijk aanwezig bodemarchief tot een minimum worden beperkt.&lt;/p&gt;&lt;p&gt;
DOI: 10.3886/e240746
title: Datasets and code for Systemic Financial Risks of Climate Shocks: Empirical Evidence from Major Free-Floating Currencies

description: This deposit provides the datasets and code used for the study titled 'Systemic Financial Risks of Climate Shocks: Empirical Evidence from Major Free-Floating Currencies.' The research investigates the dynamic impact of physical climate events on global financial stability, focusing specifically on anchor currencies.<br><br>The study offers empirical evidence of how localized climate shocks—proxied by temperature, precipitation, and disaster events—influence the volatility of major free-floating currencies: the US Dollar (USD), Euro (EUR), Pound Sterling (GBP), Japanese Yen (JPY), Swiss Franc (CHF), and Canadian Dollar (CAD). This dataset combines daily and monthly macroeconomic, climate, and financial data spanning 2012–2022. All analyses were conducted using Python. The provided code enables full replication of the CAAR analysis, the VAR-IRF modeling, and the macro-prudential stress tests.
DOI: 10.3886/e240746v2
title: Datasets and code for Systemic Financial Risks of Climate Shocks: Empirical Evidence from Major Free-Floating Currencies

description: This deposit provides the datasets and code used for the study titled 'Systemic Financial Risks of Climate Shocks: Empirical Evidence from Major Free-Floating Currencies.' The research investigates the dynamic impact of physical climate events on global financial stability, focusing specifically on anchor currencies.<br><br>The study offers empirical evidence of how localized climate shocks—proxied by temperature, precipitation, and disaster events—influence the volatility of major free-floating currencies: the US Dollar (USD), Euro (EUR), Pound Sterling (GBP), Japanese Yen (JPY), Swiss Franc (CHF), and Canadian Dollar (CAD). This dataset combines daily and monthly macroeconomic, climate, and financial data spanning 2012–2022. All analyses were conducted using Python. The provided code enables full replication of the CAAR analysis, the VAR-IRF modeling, and the macro-prudential stress tests.
DOI: 10.5281/zenodo.17715573
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model CanESM5, scenario ssp245 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17715572
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model CanESM5, scenario ssp245 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17715733
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model MPI-ESM1-2-HR -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17715732
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model MPI-ESM1-2-HR -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17715758
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 10m -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17715759
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 10m -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17715773
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model CanESM5, scenario Historical -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17715772
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model CanESM5, scenario Historical -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5517/ccdc.csd.cc2byz09
title: CCDC 2173751: Experimental Crystal Structure Determination

description: Related Article: Meaghan M. Deegan, Alexandra M. Antonio, Kyle J. Korman, Andrew A. Ezazi, Kaushalya Korathotage, Merissa N. Morey, Jahidul Hoq, Duleeka Dissanayake, Dewni D. Fernando, Glenn P. A. Yap, David C. Powers, Eric D. Bloch
|2025|Chem.Mater.|37|2404|doi:10.1021/acs.chemmater.4c02269
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.cc2byz1b
title: CCDC 2173752: Experimental Crystal Structure Determination

description: Related Article: Meaghan Deegan, Alexandra Antonio, Kyle Korman, Andrew Ezazi, Glenn Yap, David Powers, Eric Bloch|2023|ChemRxiv|||doi:10.26434/chemrxiv-2023-mvsps
description: Related Article: Meaghan M. Deegan, Alexandra M. Antonio, Kyle J. Korman, Andrew A. Ezazi, Kaushalya Korathotage, Merissa N. Morey, Jahidul Hoq, Duleeka Dissanayake, Dewni D. Fernando, Glenn P. A. Yap, David C. Powers, Eric D. Bloch
|2025|Chem.Mater.|37|2404|doi:10.1021/acs.chemmater.4c02269
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.cc2byz2c
title: CCDC 2173753: Experimental Crystal Structure Determination

description: Related Article: Meaghan M. Deegan, Alexandra M. Antonio, Kyle J. Korman, Andrew A. Ezazi, Kaushalya Korathotage, Merissa N. Morey, Jahidul Hoq, Duleeka Dissanayake, Dewni D. Fernando, Glenn P. A. Yap, David C. Powers, Eric D. Bloch
|2025|Chem.Mater.|37|2404|doi:10.1021/acs.chemmater.4c02269
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.cc2byz3d
title: CCDC 2173754: Experimental Crystal Structure Determination

description: Related Article: Meaghan Deegan, Alexandra Antonio, Kyle Korman, Andrew Ezazi, Glenn Yap, David Powers, Eric Bloch|2023|ChemRxiv|||doi:10.26434/chemrxiv-2023-mvsps
description: Related Article: Meaghan M. Deegan, Alexandra M. Antonio, Kyle J. Korman, Andrew A. Ezazi, Kaushalya Korathotage, Merissa N. Morey, Jahidul Hoq, Duleeka Dissanayake, Dewni D. Fernando, Glenn P. A. Yap, David C. Powers, Eric D. Bloch
|2025|Chem.Mater.|37|2404|doi:10.1021/acs.chemmater.4c02269
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: 10.5281/zenodo.17715788
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model CanESM5, scenario ssp126 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5517/ccdc.csd.cc2n3csy
title: CCDC 2446110: Experimental Crystal Structure Determination

description: Related Article: Cong Li, Zu-jia Lu, Chao Zhang, Qi-yao Yu, Jian-guo Zhang|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01070
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.cc2n3ks4
title: CCDC 2446296: Experimental Crystal Structure Determination

description: Related Article: E. A. Radyush,  I. Yu. Bagryanskaya,  N. A. Semenov|2025|J.Struct.Chem.|66|1569|doi:10.1134/S0022476625080037
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: 10.5281/zenodo.17715787
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model CanESM5, scenario ssp126 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5517/ccdc.csd.cc2n3kt5
title: CCDC 2446297: Experimental Crystal Structure Determination

description: Related Article: E. A. Radyush,  I. Yu. Bagryanskaya,  N. A. Semenov|2025|J.Struct.Chem.|66|1569|doi:10.1134/S0022476625080037
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.cc2n3kv6
title: CCDC 2446298: Experimental Crystal Structure Determination

description: Related Article: E. A. Radyush,  I. Yu. Bagryanskaya,  N. A. Semenov|2025|J.Struct.Chem.|66|1569|doi:10.1134/S0022476625080037
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.cc2n4hmy
title: CCDC 2447190: Experimental Crystal Structure Determination

description: Related Article: Zilin Ruan, Olaf A. Kleykamp, Kiyan Linus Haiko Pohl, Tim Naumann, L. Alix Kaczmarek, Anton S. Nizovtsev, Eugen Sharikow, Jörg Sundermeyer, Doreen Mollenhauer, J. Michael Gottfried|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c11883
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.cc2n7pqb
title: CCDC 2450262: Experimental Crystal Structure Determination

description: Related Article: Hao-Nan Shi, Hai-Wei Zhang, Bo Li, Yang Zhang, Kai-Jie Wei|2025|J.Mol.Struct.|1350|144161|doi:10.1016/j.molstruc.2025.144161
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.cc2n2mw8
title: CCDC 2445400: Experimental Crystal Structure Determination

description: Related Article: Ren-Yun Kuang, Da-Wei Wang, Yi-Dong Wang, Qiu-Yan Luo, Jin-Hua Cai
|2025|Z.Kristallogr.-New Cryst.Struct.|240|749|doi:10.1515/ncrs-2025-0228
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.cc2n7prc
title: CCDC 2450263: Experimental Crystal Structure Determination

description: Related Article: Hao-Nan Shi, Hai-Wei Zhang, Bo Li, Yang Zhang, Kai-Jie Wei|2025|J.Mol.Struct.|1350|144161|doi:10.1016/j.molstruc.2025.144161
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.cc2nvvgv
title: CCDC 2468668: Experimental Crystal Structure Determination

description: Related Article: Tatyana V. Balashova, Svetlana K. Polyakova, Vasily A. Ilichev, Anton F. Rogozhin, Taisiya S. Sukhikh, Evgeny V. Baranov, Georgy K. Fukin, Mikhail N. Bochkarev|2025|Organometallics|||doi:10.1021/acs.organomet.5c00350
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.cc2nvvhw
title: CCDC 2468669: Experimental Crystal Structure Determination

description: Related Article: Tatyana V. Balashova, Svetlana K. Polyakova, Vasily A. Ilichev, Anton F. Rogozhin, Taisiya S. Sukhikh, Evgeny V. Baranov, Georgy K. Fukin, Mikhail N. Bochkarev|2025|Organometallics|||doi:10.1021/acs.organomet.5c00350
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.