cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rqb5ad
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuscuta pentagona",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003170-250717081556266/datasets/export for details.
DOI: 10.15468/dl.xscwtm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calendula officinalis",
 "Country is Libya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003171-250717081556266/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2mk2q0
title: CCDC 2429492: Experimental Crystal Structure Determination

description: Related Article: Jugmendra Singh, Tashmeen Kaur, Naresh Kumar, Deepika Sharma, Umesh Kumar|2025|Organometallics|44|1423|doi:10.1021/acs.organomet.5c00119
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.cc2mm12d
title: CCDC 2431363: Experimental Crystal Structure Determination

description: Related Article: Ying Xie, Zeyang Ding, Tong Lu, Yan Shao, Zairan Yang, Shimei Jiang|2025|Chem.Eng.Journal|519|164916|doi:10.1016/j.cej.2025.164916
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.cc2mm14g
title: CCDC 2431365: Experimental Crystal Structure Determination

description: Related Article: Ying Xie, Zeyang Ding, Tong Lu, Yan Shao, Zairan Yang, Shimei Jiang|2025|Chem.Eng.Journal|519|164916|doi:10.1016/j.cej.2025.164916
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.cc2mmmpl
title: CCDC 2431940: Experimental Crystal Structure Determination

description: Related Article: Mi Wang, Yangyang Wang, Jie Wang, Yafei Zhu, Penghua Zhang, Cuimei Zhang, Jian Chen, Li Guo, Guanghui Lv, Yong Wu|2025|J.Org.Chem.|90|7049|doi:10.1021/acs.joc.5c00635
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.cc2mncg4
title: CCDC 2432646: Experimental Crystal Structure Determination

description: Related Article: Dongjing Hong|2025|CSD Communication|||
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.cc2mnqkl
title: CCDC 2432990: Experimental Crystal Structure Determination

description: Related Article: Wen-Juan Shi, Yi-Zhao Guo, Lin Zhang, Ge Liu, Jiao-Jing Jing, Lei Hou|2025|J.Mol.Struct.|1343|142786|doi:10.1016/j.molstruc.2025.142786
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.h4bsms
title: Occurrence Download

description: A dataset containing 9033 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chloephaga rubidiceps"
 ]
}

 The dataset includes 9033 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003173-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2mp82p
title: CCDC 2433502: Experimental Crystal Structure Determination

description: Related Article: Xiaodi Du, Chunyang Li, Congli Gao, Xiaoyu Cai, Jinying Huang, Qianrong Li, Tao Wu, Xi-Li Li|2025|Inorg.Chem.|64|11756|doi:10.1021/acs.inorgchem.5c01372
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.cc2mp86t
title: CCDC 2433506: Experimental Crystal Structure Determination

description: Related Article: Xiaodi Du, Chunyang Li, Congli Gao, Xiaoyu Cai, Jinying Huang, Qianrong Li, Tao Wu, Xi-Li Li|2025|Inorg.Chem.|64|11756|doi:10.1021/acs.inorgchem.5c01372
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.cc2mp87v
title: CCDC 2433507: Experimental Crystal Structure Determination

description: Related Article: Xiaodi Du, Chunyang Li, Congli Gao, Xiaoyu Cai, Jinying Huang, Qianrong Li, Tao Wu, Xi-Li Li|2025|Inorg.Chem.|64|11756|doi:10.1021/acs.inorgchem.5c01372
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.cc2mp88w
title: CCDC 2433508: Experimental Crystal Structure Determination

description: Related Article: Xiaodi Du, Chunyang Li, Congli Gao, Xiaoyu Cai, Jinying Huang, Qianrong Li, Tao Wu, Xi-Li Li|2025|Inorg.Chem.|64|11756|doi:10.1021/acs.inorgchem.5c01372
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.cc2mslwx
title: CCDC 2436720: Experimental Crystal Structure Determination

description: Related Article: Nana Yuan, Jia Cao, Yixia Ren, Xiufang Hou, Sanping Chen|2025|Green Chemistry|27|8603|doi:10.1039/D5GC01928A
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.cc2lcrb2
title: CCDC 2394574: Experimental Crystal Structure Determination

description: Related Article: S.S. Jakhi, M. Dhanetwal, V.R. Reddy, V.R. Hathwar|2025|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|81|363|doi:10.1107/S2052520625002719
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.cc2m0ply
title: CCDC 2413740: Experimental Crystal Structure Determination

description: Related Article: R. Gajda, M. Chodkiewicz, D. Zhang, P. Nguyen, V. Prakapenka, K. Wozniak|2025|IUCrJ|12|288|doi:10.1107/S2052252525002581
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.xqdxtc
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryonia cretica",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003176-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbt232
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuscuta pentagona",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003179-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8u2g4k
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Anaxyrus woodhousii woodhousii)"
 ]
}

 The dataset includes 424 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003177-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmkx5p
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calendula officinalis",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003180-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjhwh9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuscuta pentagona",
 "Country is Hungary",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003181-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qbxy5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calendula officinalis",
 "Country is Malta",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003182-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khg9zm
title: Occurrence Download

description: A dataset containing 2113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Aneides aeneus)"
 ]
}

 The dataset includes 2113 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003183-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4u8qa
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryonia dioica",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003184-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zrxub
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calendula officinalis",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 312 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003186-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a667ux
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuscuta pentagona",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003187-250717081556266/datasets/export for details.
DOI: 10.15468/dl.k9vcdp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuscuta pentagona",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003185-250717081556266/datasets/export for details.
DOI: 10.6084/m9.figshare.28890083
title: Data and Code for 'A Comparative Study of Physics-Informed and Data-Driven Neural Networks for Compound Flood Simulation at River-Ocean Interfaces: A Case Study of Hurricane Irene'

description: Installation and Requirements<br><br>PINNs (Physics-Informed Neural Networks)<br>TensorFlow Version: Requires TensorFlow 1.14.0<br>Environment Setup: Use the environment details provided in `requirement_tf1.txt` to set up your Conda environment.<br>conda create --name tf1 --file requirement_tf1.txt<br>conda activate tf1<br><br><br>Data-driven Model<br>TensorFlow Version: Requires TensorFlow 2.17.0<br>Environment Setup: Use the environment details provided in `requirement_tf2.txt` to set up your Conda environment.<br><br>conda create --name tf2 --file requirement_tf2.txt<br>conda activate tf2<br><br><br>### Before training<br>Before running the code, need to create folders to save the model output<br><br>For CNN, create /files/CNN<br><br>For PINNs, create /saved_model<br><br>For saving figures from visualization, create /figures<br><br>Training and Results<br>PINNs<br>Training: To train the model, run:python PINN_test_bnd_uh_Telemac.pypython PINN_test_bnd_uh_Telemac_FDM.py<br>Result Plotting and Comparison: For plotting and comparing results, use:python PINN_plot_comparison.py<br><br><br>Data-driven Model<br>CNN Training: To train the CNN model, execute:python train_CNN.py<br><br>Result Visualization: To visualize the results of the CNN model, run:python predict_CNN.py<br><br>To reproduce all results and figures in the manuscript, please refer to the scripts in analysis/
DOI: 10.6084/m9.figshare.28890083.v2
title: Data and Code for 'A Comparative Study of Physics-Informed and Data-Driven Neural Networks for Compound Flood Simulation at River-Ocean Interfaces: A Case Study of Hurricane Irene'

description: Installation and Requirements<br><br>PINNs (Physics-Informed Neural Networks)<br>TensorFlow Version: Requires TensorFlow 1.14.0<br>Environment Setup: Use the environment details provided in `requirement_tf1.txt` to set up your Conda environment.<br>conda create --name tf1 --file requirement_tf1.txt<br>conda activate tf1<br><br><br>Data-driven Model<br>TensorFlow Version: Requires TensorFlow 2.17.0<br>Environment Setup: Use the environment details provided in `requirement_tf2.txt` to set up your Conda environment.<br><br>conda create --name tf2 --file requirement_tf2.txt<br>conda activate tf2<br><br><br>### Before training<br>Before running the code, need to create folders to save the model output<br><br>For CNN, create /files/CNN<br><br>For PINNs, create /saved_model<br><br>For saving figures from visualization, create /figures<br><br>Training and Results<br>PINNs<br>Training: To train the model, run:python PINN_test_bnd_uh_Telemac.pypython PINN_test_bnd_uh_Telemac_FDM.py<br>Result Plotting and Comparison: For plotting and comparing results, use:python PINN_plot_comparison.py<br><br><br>Data-driven Model<br>CNN Training: To train the CNN model, execute:python train_CNN.py<br><br>Result Visualization: To visualize the results of the CNN model, run:python predict_CNN.py<br><br>To reproduce all results and figures in the manuscript, please refer to the scripts in analysis/
DOI: 10.15468/dl.n5us9u
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Aneides caryaensis)"
 ]
}

 The dataset includes 38 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003190-250717081556266/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.28890083.v1
title: Data and Code for 'Integrating Physics-Informed and Data-Driven Neural Networks into Earth System Models: A Comparative Study for Compound Flood Simulation at River-Ocean Interfaces'

description: Installation and Requirements<br><br>PINNs (Physics-Informed Neural Networks)<br>TensorFlow Version: Requires TensorFlow 1.14.0<br>Environment Setup: Use the environment details provided in `requirement_tf1.txt` to set up your Conda environment.<br>conda create --name tf1 --file requirement_tf1.txt<br>conda activate tf1<br><br><br>Data-driven Model<br>TensorFlow Version: Requires TensorFlow 2.17.0<br>Environment Setup: Use the environment details provided in `requirement_tf2.txt` to set up your Conda environment.<br><br>conda create --name tf2 --file requirement_tf2.txt<br>conda activate tf2<br><br><br>### Before training<br>Before running the code, need to create folders to save the model output<br><br>For CNN, create /files/CNN<br><br>For PINNs, create /saved_model<br><br>For saving figures from visualization, create /figures<br><br>Training and Results<br>PINNs<br>Training: To train the model, run:python PINN_test_bnd_uh_Telemac.pypython PINN_test_bnd_uh_Telemac_FDM.py<br>Result Plotting and Comparison: For plotting and comparing results, use:python PINN_plot_comparison.py<br><br><br>Data-driven Model<br>CNN Training: To train the CNN model, execute:python train_CNN.py<br><br>Result Visualization: To visualize the results of the CNN model, run:python predict_CNN.py<br><br>To reproduce all results and figures in the manuscript, please refer to the scripts in analysis/
DOI: 10.15468/dl.a9dkv4
title: Occurrence Download

description: A dataset containing 393492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Silene alpina, Silene cucubalus cucubalus, Silene willdenowii, Viscago behen, Behen vulgaris, Stellaria graminea, Alsine graminea, Cerastium gramineum, Larbrea graminea, Larbrea graminea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 393492 records from 1780 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003134-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/garland-ouc11399n7sn
title: Grace Davis Vanamee, letter, 1929-02-28, to Hamlin Garland

description: Grace Davis Vanamee (The American Academy of Arts and Letters), 633 West 155th Street, New York, New York, USA, letter, 1929 February 28, to Hamlin Garland. "I thought I should get this personal letter off yesterday but the day was too full." -- first line.
DOI: 10.25549/garland-ouc11399n7st
title: Grace Davis Vanamee, letter, 1932-02-11, to Hamlin Garland

description: Grace Davis Vanamee (The American Academy of Arts and Letters), 633 West 155th Street, New York, New York, USA, letter, 1932 February 11, to Hamlin Garland, 2045 De Mille Drive, Hollywood, California, USA. "I shed some very real tears over your letter of February 7th but I have no hesitancy in replying at once and definitely that you must not resign from anything." -- first line.
DOI: 10.25549/garland-ouc11399n9fq
title: Albert Frederich Wilson, letter, [s.d.], to Hamlin Garland

description: Albert Frederich Wilson, Chimney Corners, White Oak Shade Road, New Canaan, Connecticut, USA, letter, [s.d.], to Hamlin Garland. "It was kind of you to include me in your invitation for the reception at the Arts Club on Wednesday evening." -- first line.
DOI: 10.25549/garland-ouc11399n9g4
title: James H. Wilson, letter, 1896-11-30, to Hamlin Garland

description: James H. Wilson, Wilmington, Delaware, USA, letter, 1896 November 30, to Hamlin Garland, Regent Hotel, [Pennsylvania Avenue Northwest and 15th Street Northwest], Washington, DC, USA. "I have delayed replying to your letter of the 17th inst[ant] till I could go over my private papers to see if I had among them any which came to me from Genl. [General] Rowley." -- first line.
DOI: 10.25549/garland-ouc11399n9g6
title: James H. Wilson, letter, 1897-02-25, to Hamlin Garland

description: James H. Wilson, Wilmington, Delaware, USA, letter, 1897 February 25, to Hamlin Garland (McClure's), New Amsterdam Hotel, New York, New York, USA. "I am somewhat at a loss as to the meaning of a phrase in your note of the 22nd." -- first line. With envelope.
DOI: 10.25549/garland-ouc11399n9g8
title: James H. Wilson, letter, 1897-02-13, to Hamlin Garland

description: James H. Wilson, Wilmington, Delaware, USA, letter, 1897 February 13, to Hamlin Garland, Regent Hotel, [Pennsylvania Avenue Northwest and 15th Street Northwest], Washington, DC, USA. "Absence in Philadelphia yesterday has prevented an earlier reply." -- first line. With envelope.