cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc1k33vm
title: CCDC 1432970: Experimental Crystal Structure Determination

description: Related Article: Chen Xu,  Ying-Li Song,  Zhi-Qiang Wang|2015|Z.Kristallogr.-New Cryst.Struct.|230|99|doi:10.1515/ncrs-2014-0254
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.cc1k33tl
title: CCDC 1432969: Experimental Crystal Structure Determination

description: Related Article: Venkata R. Sabbasani, Hyunjin Lee, Yuanzhi Xia, Daesung Lee|2016|Angew.Chem.,Int.Ed.|55|1151|doi:10.1002/anie.201510006
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/cc14gz4q
title: CCDC 1057073: Experimental Crystal Structure Determination

description: Related Article: Qian Zhang,  Li He,  Qiong-Yan Yu|2015|Z.Kristallogr.-New Cryst.Struct.|230|107|doi:10.1515/ncrs-2014-0255
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/cc1k33wn
title: CCDC 1432971: Experimental Crystal Structure Determination

description: Related Article: Yi Yanping|2015|Z.Kristallogr.-New Cryst.Struct.|230|125|doi:10.1515/ncrs-2014-9064
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/cc1k41wm
title: CCDC 1433870: Experimental Crystal Structure Determination

description: Related Article: Jin-Fan Song,  Jing Li|2015|Z.Kristallogr.-New Cryst.Struct.|230|117|doi:10.1515/ncrs-2014-0256
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/cc12ks5l
title: CCDC 1000189: Experimental Crystal Structure Determination

description: Related Article: Wei Sun,  Yan-Ping Li,  Jie Jin,  Zhuo-Rong Li,  Guang-Zhi Shan|2015|Z.Kristallogr.-New Cryst.Struct.|230|180|doi:10.1515/ncrs-2014-9073
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/cc1j7ht2
title: CCDC 1407394: Experimental Crystal Structure Determination

description: Related Article: Lanka D. Wickramasinghe,  Rongwei Zhou,  Ruifa Zong,  Pascal Vo,  Kevin J. Gagnon and Randolph P. Thummel|2015|J.Am.Chem.Soc.|137|13260|doi:10.1021/jacs.5b08856
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/cc1j7hv3
title: CCDC 1407395: Experimental Crystal Structure Determination

description: Related Article: Lanka D. Wickramasinghe,  Rongwei Zhou,  Ruifa Zong,  Pascal Vo,  Kevin J. Gagnon and Randolph P. Thummel|2015|J.Am.Chem.Soc.|137|13260|doi:10.1021/jacs.5b08856
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/cc1jyf63
title: CCDC 1428455: Experimental Crystal Structure Determination

description: Related Article: Luping Liu,  Markus Leutzsch,  Yiying Zheng,  M. Wasim Alachraf,  Walter Thiel,  and Benjamin List|2015|J.Am.Chem.Soc.|137|13268|doi:10.1021/jacs.5b09484
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/cc1jlwqq
title: CCDC 1418334: Experimental Crystal Structure Determination

description: Related Article: James J. Henkelis,  Anthea K. Blackburn,  Edward J. Dale,  Nicolaas A. Vermeulen,  Majed S. Nassar,  and J. Fraser Stoddart|2015|J.Am.Chem.Soc.|137|13252|doi:10.1021/jacs.5b08656
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: 10.6084/m9.figshare.30428272
title: Toward Predicting Pandemic Potential: A Comparative Analysis of Virus-Host Interactions Between Diverse Influenza A Viruses and the Human Innate Immune System: Raw data from mN2H screening and functional studies

description: Zoonotic infections caused by avian influenza A viruses (IAVs) are a major public health concern, as they may represent the initial step toward the emergence of a pandemic strain. The host range of IAVs is shaped by species-specific virus–host interactions, and several host barriers have been identified that restrict the adaptation of avian viruses to humans. In this study, we used a comparative interaction screen by mammalian cell-based N2H (mN2H) assay based on the NanoLuc luciferase to investigate whether differences in the interaction networks between viral proteins from human, avian, and zoonotic IAVs and a curated panel of human innate immune factors could serve as indicators of the zoonotic potential of avian IAVs. The results revealed both conserved and strain-specific interactions, while underscoring limitations in comparing interactions across independent screens. Complementary functional analyses by siRNA knockdowns identified host factors and pathways potentially involved in host restriction, as well as pro-viral factors that could represent potential antiviral targets. The comparative interactomic mN2H approach holds promise for evaluating the zoonotic potential of avian IAVs, but our findings highlighted the need for further studies using broader cellular libraries to fully validate its predictive value.
DOI: 10.6084/m9.figshare.30428272.v1
title: Toward Predicting Pandemic Potential: A Comparative Analysis of Virus-Host Interactions Between Diverse Influenza A Viruses and the Human Innate Immune System: Raw data from mN2H screening and functional studies

description: Zoonotic infections caused by avian influenza A viruses (IAVs) are a major public health concern, as they may represent the initial step toward the emergence of a pandemic strain. The host range of IAVs is shaped by species-specific virus–host interactions, and several host barriers have been identified that restrict the adaptation of avian viruses to humans. In this study, we used a comparative interaction screen by mammalian cell-based N2H (mN2H) assay based on the NanoLuc luciferase to investigate whether differences in the interaction networks between viral proteins from human, avian, and zoonotic IAVs and a curated panel of human innate immune factors could serve as indicators of the zoonotic potential of avian IAVs. The results revealed both conserved and strain-specific interactions, while underscoring limitations in comparing interactions across independent screens. Complementary functional analyses by siRNA knockdowns identified host factors and pathways potentially involved in host restriction, as well as pro-viral factors that could represent potential antiviral targets. The comparative interactomic mN2H approach holds promise for evaluating the zoonotic potential of avian IAVs, but our findings highlighted the need for further studies using broader cellular libraries to fully validate its predictive value.
DOI: 10.5281/zenodo.16901091
title: Kinetix camera calibration

description: Results of the Kinetix camera calibration (Photometrics, 01-KINETIX-M-C ).

The two following modes were calibrated: "speed" (8-bits) and "sensitivity" (12-bits).

Setup specifications: 



Excitation: Thorlabs collimated LED light source for microscopy

No objective; instead, two diffusers are placed at this location (Thorlabs DG10-600-MD, 600 grit & DG10-120-MD, 120 grit)

Dichroic:  Semrock 146 Di01-R405/488/561/635

Imaging path: A 25.4 mm biconvex lens (Thorlabs LB1761-A) is positioned at the Fourier lens location; two diffusers are placed at the filter position (Thorlabs DG10-1500-MD, 1500 grit & DG10-220-MD, 220 grit)


Acquisition parameters: for each mode, acquire 20,000 frames at 6 gradualy increased intensity levels, and 20,000 frames in the dark. Calibrate the full 3200x3200 pixels chip.



Sensitivity mode: 10 ms exposure with 200 ms interval.

Speed mode: 5 ms exposure with 90 ms interval.


Analysis specifications: used the following software https://doi.org/10.5281/zenodo.10732470

Results: the results include for each mode: 1. pixel-dependent offset, variance, gain and read noise maps; 2. average offset, variance, gain and read noise; 3. regression curve used for estimating gain. 



Sensitivity mode results summary:The average offset: 100.692 +- 1.038 ADU countsThe average gain: 3.462 +- 0.098 ADU counts/photoelectronThe average read noise is: 1.288 +- 0.419 photoelectronsThe median  read noise is: 1.139 photoelectronsThe RMS read noise is: 1.354 photoelectrons

Speed mode results summary:



The average offset is: 19.421 +- 0.723 ADU countsThe average variance is: 5.587 +- 2.673 ADU countsThe average gain is: 1.028 +- 0.154 ADU counts/photoelectron

The average read noise is: 2.337 +- 0.916 photoelectrons

The median read noise is: 2.225 photoelectronsThe RMS read noise is: 2.510 photoelectrons* ADU = analog-to-digital unit
DOI: 10.5281/zenodo.16901092
title: Kinetix camera calibration

description: Results of the Kinetix camera calibration (Photometrics, 01-KINETIX-M-C ).

The two following modes were calibrated: "speed" (8-bits) and "sensitivity" (12-bits).

Setup specifications: 



Excitation: Thorlabs collimated LED light source for microscopy

No objective; instead, two diffusers are placed at this location (Thorlabs DG10-600-MD, 600 grit & DG10-120-MD, 120 grit)

Dichroic:  Semrock 146 Di01-R405/488/561/635

Imaging path: A 25.4 mm biconvex lens (Thorlabs LB1761-A) is positioned at the Fourier lens location; two diffusers are placed at the filter position (Thorlabs DG10-1500-MD, 1500 grit & DG10-220-MD, 220 grit)


Acquisition parameters: for each mode, acquire 20,000 frames at 6 gradualy increased intensity levels, and 20,000 frames in the dark. Calibrate the full 3200x3200 pixels chip.



Sensitivity mode: 10 ms exposure with 200 ms interval.

Speed mode: 5 ms exposure with 90 ms interval.


Analysis specifications: used the following software https://doi.org/10.5281/zenodo.10732470

Results: the results include for each mode: 1. pixel-dependent offset, variance, gain and read noise maps; 2. average offset, variance, gain and read noise; 3. regression curve used for estimating gain. 



Sensitivity mode results summary:The average offset: 100.692 +- 1.038 ADU countsThe average gain: 3.462 +- 0.098 ADU counts/photoelectronThe average read noise is: 1.288 +- 0.419 photoelectronsThe median  read noise is: 1.139 photoelectronsThe RMS read noise is: 1.354 photoelectrons

Speed mode results summary:



The average offset is: 19.421 +- 0.723 ADU countsThe average variance is: 5.587 +- 2.673 ADU countsThe average gain is: 1.028 +- 0.154 ADU counts/photoelectron

The average read noise is: 2.337 +- 0.916 photoelectrons

The median read noise is: 2.225 photoelectronsThe RMS read noise is: 2.510 photoelectrons* ADU = analog-to-digital unit
DOI: 10.71819/zajuuk
title: Coleção de Aves da UNISINOS

description: Base de dados da subcoleção de Aves da Coleção de Zoologia da Unisinos.
DOI: 10.5281/zenodo.17426396
title: Elektronischer Anhang mit Rohdaten und Berechnungen_Hannes_Käther
DOI: 10.5281/zenodo.17426395
title: Elektronischer Anhang mit Rohdaten und Berechnungen_Hannes_Käther
DOI: 10.5281/zenodo.17426240
title: Bhinneka Framework: Enhancing Critical Thinking Skills in Engineering Education

description: This dataset supports the empirical and theoretical study titled “Bhinneka Framework: Enhancing Critical Thinking Skills in Engineering Education.” It contains the complete research materials used to examine how digital entrepreneurship, technology integration, and higher-order thinking skills (HOTS) interact in the context of Indonesian higher education.

The dataset includes both quantitative and qualitative components:





Responses.xlsx — Contains anonymized questionnaire responses from 250 undergraduate students representing two Indonesian universities. Responses were collected using a 5-point Likert scale to assess variables associated with the Bhinneka Framework.




Codebook Full Digital Entrepreneurship.xlsx — Provides detailed explanations of all variables, indicators, and measurement scales used in the study.




Questionnaire.docx — Contains the complete text of the research instrument, including items measuring digital entrepreneurship, entrepreneurship orientation, smartphone usage, collaboration, and institutional development.




Supplementary Video: Bhinneka 2024 Questionnaire Collection Recording — A recorded interview and field documentation illustrating the conceptual foundation, implementation, and reflective process behind the Bhinneka Framework.The video is openly available at the following permanent link:🔗 https://bit.um.ac.id/Quest-Record_RKI24



The supplementary video documents the ideologists’ perspectives on the theoretical and pedagogical principles of the Bhinneka approach. It highlights discussions on holistic learning, digital entrepreneurship, and the integration of higher-order thinking skills in engineering education.This audiovisual material complements the quantitative dataset, providing a richer interpretative understanding of how the framework was conceptualized and implemented.

All personally identifiable information (PII) has been removed to ensure participant anonymity.The dataset and supplementary materials are made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing reuse and citation for academic and educational purposes.
DOI: 10.5281/zenodo.17426241
title: Bhinneka Framework: Enhancing Critical Thinking Skills in Engineering Education

description: This dataset supports the empirical and theoretical study titled “Bhinneka Framework: Enhancing Critical Thinking Skills in Engineering Education.” It contains the complete research materials used to examine how digital entrepreneurship, technology integration, and higher-order thinking skills (HOTS) interact in the context of Indonesian higher education.

The dataset includes both quantitative and qualitative components:





Responses.xlsx — Contains anonymized questionnaire responses from 250 undergraduate students representing two Indonesian universities. Responses were collected using a 5-point Likert scale to assess variables associated with the Bhinneka Framework.




Codebook Full Digital Entrepreneurship.xlsx — Provides detailed explanations of all variables, indicators, and measurement scales used in the study.




Questionnaire.docx — Contains the complete text of the research instrument, including items measuring digital entrepreneurship, entrepreneurship orientation, smartphone usage, collaboration, and institutional development.




Supplementary Video: Bhinneka 2024 Questionnaire Collection Recording — A recorded interview and field documentation illustrating the conceptual foundation, implementation, and reflective process behind the Bhinneka Framework.The video is openly available at the following permanent link:🔗 https://bit.um.ac.id/Quest-Record_RKI24



The supplementary video documents the ideologists’ perspectives on the theoretical and pedagogical principles of the Bhinneka approach. It highlights discussions on holistic learning, digital entrepreneurship, and the integration of higher-order thinking skills in engineering education.This audiovisual material complements the quantitative dataset, providing a richer interpretative understanding of how the framework was conceptualized and implemented.

All personally identifiable information (PII) has been removed to ensure participant anonymity.The dataset and supplementary materials are made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing reuse and citation for academic and educational purposes.
DOI: 10.15468/dl.he7tgh
title: Occurrence Download

description: A dataset containing 833 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Istigobius rigilius"
 ]
}

 The dataset includes 833 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052738-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15845968
title: Geolocator positions for "Unexpected variation in migration routes and nonbreeding residency of Tree Pipits Anthus trivialis from a central European breeding population"

description: Abstract 

The natural history of migration comprises a set of population-specific ecological and flexible traits, that will undergo fundamental changes under current climate alterations, but basic features remain undiscovered for many species and populations. Here, we provide the first spatiotemporal annual cycle information of individual Tree Pipits, one of the most common long-distance African-Palearctic migrants. Male Pipits from Czechia showed a large variation in migration routes and African nonbreeding residence sites. In autumn, birds crossed the Mediterranean basin over a wide range from its western to eastern part to reach nonbreeding sites in West Africa, Nigeria, and the lake Chad area. Nonbreeding residence period lasted on average 160 days, wherein 28% of males showed site itinerancy of 100 and 400km between overwintering sites. Northbound spring migration routes differed entirely or in the North-African European portion from autumn (post-breeding) routes, resulting in seasonally different passage regions. Departure periods from the breeding sites in autumn and the nonbreeding sites in spring spanned over a 1.5- and 1-month period, respectively. Migration duration per bird in spring lasted 20d (median) which was 61% shorter than the duration of autumn migration (median: 52d). Our study shows that Tree Pipits from a single breeding population pass through and reside across vast areas and thus, experience a wide array of environmental conditions outside their breeding season. To establish a causal link between environmental conditions and the population trajectory of tree pipits, further tracking information are required especially from northern and eastern European breeding populations.
DOI: 10.5281/zenodo.15845969
title: Geolocator positions for "Unexpected variation in migration routes and nonbreeding residency of Tree Pipits Anthus trivialis from a central European breeding population"

description: Abstract 

The natural history of migration comprises a set of population-specific ecological and flexible traits, that will undergo fundamental changes under current climate alterations, but basic features remain undiscovered for many species and populations. Here, we provide the first spatiotemporal annual cycle information of individual Tree Pipits, one of the most common long-distance African-Palearctic migrants. Male Pipits from Czechia showed a large variation in migration routes and African nonbreeding residence sites. In autumn, birds crossed the Mediterranean basin over a wide range from its western to eastern part to reach nonbreeding sites in West Africa, Nigeria, and the lake Chad area. Nonbreeding residence period lasted on average 160 days, wherein 28% of males showed site itinerancy of 100 and 400km between overwintering sites. Northbound spring migration routes differed entirely or in the North-African European portion from autumn (post-breeding) routes, resulting in seasonally different passage regions. Departure periods from the breeding sites in autumn and the nonbreeding sites in spring spanned over a 1.5- and 1-month period, respectively. Migration duration per bird in spring lasted 20d (median) which was 61% shorter than the duration of autumn migration (median: 52d). Our study shows that Tree Pipits from a single breeding population pass through and reside across vast areas and thus, experience a wide array of environmental conditions outside their breeding season. To establish a causal link between environmental conditions and the population trajectory of tree pipits, further tracking information are required especially from northern and eastern European breeding populations.
DOI: 10.71819/pioosd
title: Coleção de Mamíferos da UNISINOS

description: Base de dados da subcoleção de Mamíferos da Coleção de Zoologia da Unisinos.
DOI: 10.15468/dl.epjw5q
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malawi",
 "TaxonKey is Rhinolophus blasii"
 ]
}

 The dataset includes 156 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052740-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.