cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1kz9lf
title: CCDC 1459095: Experimental Crystal Structure Determination

description: Related Article: S Philip Anthony|2024|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.cc20b17n
title: CCDC 1856690: Experimental Crystal Structure Determination

description: Related Article: P. Slepukhin, R.I.Ishmetova, N.K.Ignatenko|2024|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.cc20h5b1
title: CCDC 1861622: Experimental Crystal Structure Determination

description: Related Article: Igor Puzyrev, Liliya Khamidullina, Pavel Slepukhin|2024|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.cc20h5c2
title: CCDC 1861623: Experimental Crystal Structure Determination

description: Related Article: Igor Puzyrev, Liliya Khamidullina, Pavel Slepukhin|2024|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.cc20h5g5
title: CCDC 1861626: Experimental Crystal Structure Determination

description: Related Article: Igor Puzyrev, Liliya Khamidullina, Pavel Slepukhin|2024|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.cc22f9b5
title: CCDC 1919406: Experimental Crystal Structure Determination

description: Related Article: P. Slepukhin, V. Parfenov|2024|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: 10.15468/dl.bqutvu
title: Occurrence Download

description: A dataset containing 8939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 8939 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016213-250127130748423/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.cc2541yb
title: CCDC 1999901: Experimental Crystal Structure Determination

description: Related Article: P. Slepukhin, A. S. Fisyuk|2024|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.cc27yyw1
title: CCDC 2084374: Experimental Crystal Structure Determination

description: Related Article: P. Slepukhin, M. Barabanov|2024|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.cc280dh6
title: CCDC 2085757: Experimental Crystal Structure Determination

description: Related Article: Almira R. Miftyakhova, Tatiana N. Borisova, Alexander A. Titov, Sidakov B. Matvey, Ilya V. Efimov, Roman A. Novikov, Alexey V. Varlamov, Leonid G. Voskressensky|2024|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.cc2jg83d
title: CCDC 2337403: Experimental Crystal Structure Determination

description: Related Article: Ammundi Jayavel Chirranjeevi Padmashrija, Sathananthan Kannadasan, Ponnusamy Shanmugam|2025|Tetrahedron Lett.|156|155448|doi:10.1016/j.tetlet.2024.155448
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.ty9yjh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnolia zamudioi A.Vázquez)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016215-250127130748423/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.cc2jv25n
title: CCDC 2348751: Experimental Crystal Structure Determination

description: Related Article: Eduard B. Rusanov, Michael D. Wörle, Maksym V. Kovalenko, Kostiantyn V. Domasevitch, Julia A. Rusanova|2024|Eur.J.Inorg.Chem.|27|e202400222|doi:10.1002/ejic.202400222
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.cc2k3mt4
title: CCDC 2356986: Experimental Crystal Structure Determination

description: Related Article: Calvin Samuel, Tokala Navaneetha, Junaid Ali, Viswanathan Baskar|2025|Inorg.Chem.|64|872|doi:10.1021/acs.inorgchem.4c03943
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.cc2k3mx7
title: CCDC 2356989: Experimental Crystal Structure Determination

description: Related Article: Calvin Samuel, Tokala Navaneetha, Junaid Ali, Viswanathan Baskar|2025|Inorg.Chem.|64|872|doi:10.1021/acs.inorgchem.4c03943
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.cc2k4jpy
title: CCDC 2357850: Experimental Crystal Structure Determination

description: Related Article: Rui-Kui Yan, Xiao-Li Chen, Jing Ren, Hua-Li Cui, Hua Yang, Ji-Jiang Wang|2025|Spectrochim.Acta,Part A|330|125669|doi:10.1016/j.saa.2024.125669
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.cc2k5l9n
title: CCDC 2358861: Experimental Crystal Structure Determination

description: Related Article: Koichiro Omasa, Isao Yoshikawa, Hirohiko Houjou|2025|CrystEngComm|27|468|doi:10.1039/D4CE01027B
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.cc2k5lbp
title: CCDC 2358862: Experimental Crystal Structure Determination

description: Related Article: Koichiro Omasa, Isao Yoshikawa, Hirohiko Houjou|2025|CrystEngComm|27|468|doi:10.1039/D4CE01027B
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.cc2jvg62
title: CCDC 2349124: Experimental Crystal Structure Determination

description: Related Article: Haina Zhang, Ying Wei, Xiao Liu, Zhongning Chen, Zhenhong Wei, Hu Cai|2025|Inorg.Chem.|64|845|doi:10.1021/acs.inorgchem.4c03814
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.cc2l6qp7
title: CCDC 2389749: Experimental Crystal Structure Determination

description: Related Article: Natalie T. Johnson, Paul G. Waddell|2024|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.cc13pkr3
title: CCDC 1033625: Experimental Crystal Structure Determination

description: Related Article: Poornima Devi Ponnusamy, D.Kalaivani|2024|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.cc14n4kh
title: CCDC 1062046: Experimental Crystal Structure Determination

description: Related Article: Poornima Devi Ponnusamy, D.Kalaivani|2024|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.cc12s7tx
title: CCDC 1006409: Experimental Crystal Structure Determination

description: Related Article: Poornima Devi Ponnusamy, D. Kalaivani|2024|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.cc12v99j
title: CCDC 1008377: Experimental Crystal Structure Determination

description: Related Article: Poornima Devi Ponnusamy, D.Kalaivani|2024|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: 10.5281/zenodo.14812060
title: Supporting Information for Detection and Analysis of Frontal Waves by way of VIIRS Day-Night-Band Satellite Imagery

description: Introduction

This is the supporting dataset for our work on the detection and analysis of frontal waves using VIIRS Day-Night Band satellite imagery. The Dataset we used for the model training is provided. The dataset includes image files and text files that indicate labels. Dataset S1, obj.zip is the dataset we used for training, and dataset S2 is for validation. We also provide the trained weights file of YOLOv3.  The event list and all frontal wave images we found using the ML model are also provided. 

Dataset S1: uploaded as “obj.zip”

The zip file should be unzipped. The folder contains PNG images and text files we used for the training. Each text file contains label information of the corresponding image file. The format is “class_id, x_center_norm, y_center_norm, width_norm, height_norm”.The class_id is the index number of the class and is always 0 here. The x_center_norm and y_center_norm indicate the coordinate of the label in the image in normalized values. The width_norm and height_norm indicate the width and height of the label in normalized values, respectively. This is the format supported by YOLOv3.

 

Dataset S2: uploaded as “test.zip”

The format is the same as Dataset S1, but the dataset is for validation.

Weight S1: uploaded as “yolov3_custom.weights”

The weight of the network of YOLOv3 trained in this study. The file format is supported by YOLOv3.

Text S1: uploaded as “eventlist.csv”

The event list of frontal waves in CSV format. The event list is the result of the event survey on the moonless images of Suomi NPP VIIRS/DNB from January 2012 to June 2023 using the trained YOLOv3 model. The first column indicates the event ID. The second and third columns show the intensity and geolocation data file names, respectively. The data files can be downloaded at https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/5200/VNP02DNB/ and https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/5200/VNP03DNB. The fourth column indicates the name of the frontal wave image. The corresponding image files can be found in Dataset S3. The fifth column shows the observation time. The format is “YYYY-MM-DD hh:mm:ss,” where YYYY, MM, DD, hh, mm, and ss mean year, month, day, hour, minute, and second. The sixth and seventh columns present the latitude and longitude of the center of the frontal wave. Columns eight to eleven list 'X_CENTER_NORM,' 'Y_CENTER_NORM,' 'WIDTH_NORM,' and 'HEIGHT_NORM,' delineating the rectangular position of the wave event in normalized values within the image from the top left corner (0,0) to bottom right (1,1).Dataset S3.

Dataset S3: uploaded as “image.zip”

The zip file should be unzipped. The folder contains PNG image files of the frontal waves detected in this study. A white rectangle(s) within each image marks the frontal wave's location.
DOI: 10.5281/zenodo.14812061
title: Supporting Information for Detection and Analysis of Frontal Waves by way of VIIRS Day-Night-Band Satellite Imagery

description: Introduction

This is the supporting dataset for our work on the detection and analysis of frontal waves using VIIRS Day-Night Band satellite imagery. The Dataset we used for the model training is provided. The dataset includes image files and text files that indicate labels. Dataset S1, obj.zip is the dataset we used for training, and dataset S2 is for validation. We also provide the trained weights file of YOLOv3.  The event list and all frontal wave images we found using the ML model are also provided. 

Dataset S1: uploaded as “obj.zip”

The zip file should be unzipped. The folder contains PNG images and text files we used for the training. Each text file contains label information of the corresponding image file. The format is “class_id, x_center_norm, y_center_norm, width_norm, height_norm”.The class_id is the index number of the class and is always 0 here. The x_center_norm and y_center_norm indicate the coordinate of the label in the image in normalized values. The width_norm and height_norm indicate the width and height of the label in normalized values, respectively. This is the format supported by YOLOv3.

 

Dataset S2: uploaded as “test.zip”

The format is the same as Dataset S1, but the dataset is for validation.

Weight S1: uploaded as “yolov3_custom.weights”

The weight of the network of YOLOv3 trained in this study. The file format is supported by YOLOv3.

Text S1: uploaded as “eventlist.csv”

The event list of frontal waves in CSV format. The event list is the result of the event survey on the moonless images of Suomi NPP VIIRS/DNB from January 2012 to June 2023 using the trained YOLOv3 model. The first column indicates the event ID. The second and third columns show the intensity and geolocation data file names, respectively. The data files can be downloaded at https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/5200/VNP02DNB/ and https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/5200/VNP03DNB. The fourth column indicates the name of the frontal wave image. The corresponding image files can be found in Dataset S3. The fifth column shows the observation time. The format is “YYYY-MM-DD hh:mm:ss,” where YYYY, MM, DD, hh, mm, and ss mean year, month, day, hour, minute, and second. The sixth and seventh columns present the latitude and longitude of the center of the frontal wave. Columns eight to eleven list 'X_CENTER_NORM,' 'Y_CENTER_NORM,' 'WIDTH_NORM,' and 'HEIGHT_NORM,' delineating the rectangular position of the wave event in normalized values within the image from the top left corner (0,0) to bottom right (1,1).Dataset S3.

Dataset S3: uploaded as “image.zip”

The zip file should be unzipped. The folder contains PNG image files of the frontal waves detected in this study. A white rectangle(s) within each image marks the frontal wave's location.
DOI: 10.15468/dl.rjscja
title: Occurrence Download

description: A dataset containing 12219179 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 12219179 records from 1973 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016182-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15094532
title: Closing the Knowledge Gap: Exploring Generation Z Czech University Students' Awareness and Perceptions of Nanotechnology

description: Nanotechnology is increasingly becoming a part of everyday life. Despite this growing integration, public awareness of nanotechnology's functionality, benefits, and potential risks remains limited. This is particularly true for Generation Z, the first digitally native generation, which is expected to play a pivotal role in shaping the future of technology and its applications. Given their position as future leaders and consumers, it is important to understand how Generation Z, specifically university students, perceives and understands nanotechnology. The primary aim of this study was to assess the current level of knowledge about nanotechnology among the Czech public, with a specific focus on Generation Z university students. This focus on Generation Z is particularly important as their views on new technologies, including nanotechnology, will likely shape public discourse and innovation trends in the coming decades. A cross-sectional online survey was conducted using the Nano-Knowledge Instrument and a Sociodemographic questionnaire.

The research sample consisted of 107 Generation Z university students aged 19-26, from diverse fields of study. The findings revealed knowledge gaps regarding the benefits and applications of nanomaterials. These results highlight the necessity for targeted educational initiatives to address these gaps, particularly within Generation Z, to ensure informed public engagement. Enhancing awareness among younger generations is essential for fostering responsible innovation and creating a supportive environment for the development of NT policies.

The work was supported from ERDF/ESF project TECHSCALE (No. CZ.02.01.01/00/22_008/0004587).