cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fj257
title: CCDC 2249768: Experimental Crystal Structure Determination

description: Related Article: Sunil K. Rai, Srinu Tothadi, Mihails Arhangelskis, Christy P. George, Rajesh G. Gonnade, Ashwini K. Nangia|2023|CrystEngComm|25|2712|doi:10.1039/D3CE00163F
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.cc2fhfv7
title: CCDC 2249169: Experimental Crystal Structure Determination

description: Related Article: Jiayao Zhang, Saurav Bhattacharya, Anja B. Müller, Levente Kiss, Cristian Silvestru, Nikolai Kuhnert, Ulrich Kortz|2023|Chem.Commun.|59|5918|doi:10.1039/D3CC00243H
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: 10.21223/xml1nc/x2pd5d
title: 01_Raw_data_images.rar

description: :unav
DOI: 10.21223/xml1nc/wiyizh
title: 01_raw_data_labels.rar

description: :unav
DOI: 10.21223/xml1nc/8ksaop
title: 03_Augmented_data_labels.rar

description: :unav
DOI: 10.21223/xml1nc/hwxhov
title: 03_Augmented_data_images.rar

description: :unav
DOI: 10.21223/xml1nc/udl6ud
title: 02_Curated_data_labels.rar

description: :unav
DOI: 10.21223/xml1nc/u49i6y
title: 02_Curated_data_images.rar

description: :unav
DOI: 10.21223/xml1nc
title: Dataset for: Image recognition for native potatoes

description: Raw or collected database consisting of 3417 bounding boxes containing the following varieties: Peruanita (1015), Amarilla del Centro (1017), Huayro Rojo (166), and Huamantanga (1019). These were labeled using the image labeling program, generating labels for each variety (1 for Peruanita, 2 for Amarilla del Centro, 3 for Huayro Rojo, and 4 for Huamantanga). The label codes consist of four digits: the first two digits represent the location of the bounding box relative to the generated central quadrant by YOLO, and the last two digits represent the location of the tuber relative to the center within that quadrant (e.g., 3, 0.28, 0.54, 0.13, 0.17). After data collection, data preparation is performed to verify the quality of the collected data. The data has been curated one by one using the Roboflow software to regenerate the bounding boxes. This involved addressing issues such as blurry images, overlapping of the same potato type, overlapping of different potato types, overlapping with other tubers, and scenarios with other objects, resulting in 3430 bounding boxes. To improve the data quality, data augmentation techniques were applied, which randomly modify the rotation, noise, brightness, mosaics, and saturation of the images. As a result of this improvement process, the total number of bounding boxes increased to 10290, tripling its initial size. This final dataset is referred to as the "Data Augmented" dataset.
DOI: 10.5281/zenodo.7948768
title: amazona_ochrocephala_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7948767
title: amazona_ochrocephala_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7948752
title: Development of a Predictive Model for In-Hospital Mortality in COVID-19 Patients Using CAR, IL-6, IL-6/LY, and NLR: A Single-Center Study in Indonesia

description: Table 1. Demographic data of the subject <sup>*</sup>mean (+SD); <sup>#</sup>median (Q1-Q3) Table 2. CAR, IL-6, IL-6/LY, NLR cut-off values and performance in determining mortality
DOI: 10.5281/zenodo.7948751
title: Development of a Predictive Model for In-Hospital Mortality in COVID-19 Patients Using CAR, IL-6, IL-6/LY, and NLR: A Single-Center Study in Indonesia

description: Table 1. Demographic data of the subject <sup>*</sup>mean (+SD); <sup>#</sup>median (Q1-Q3) Table 2. CAR, IL-6, IL-6/LY, NLR cut-off values and performance in determining mortality
DOI: 10.25345/c5sx64m0z
title: MassIVE MSV000091985 - GNPS Mitomycin MitDp and MitFp intermediates
title: MitDp and MitFp intermediates in the biosynthesis of Mitomycin C
DOI: 10.18430/m38em8
title: X-ray diffraction data for the co-crystal structure of the cGMP-dependent protein kinase PKG from Plasmodium falciparum in complex with RY-1-165 (8EM8)
DOI: 10.18430/m38f8e
title: X-ray diffraction data for the crystal structure of the WDR domain of human DCAF1 in complex with OICR-8268 compound (8F8E)
DOI: 10.18430/m37s12
title: X-ray diffraction data for the crystal structure of GID4 in complex with UBF9092 (7S12)
DOI: 10.6084/m9.figshare.21424257
title: Investigating the Relationship between Spatial Skills and Web Mapping Application Performance among University Students

description: The documents included in this dataset consistis of: <br> a) the dataset of collected participants responses, in the form of a zip archive (spatialskillssurvey.7z). <br> and <br> b) the R script (WebMappingApp_SpatialThinking_v2.R) to run the statistical analysis detailed in the paper, to create figures 3-7 and to generate the contents of tables 1-9.
DOI: 10.6084/m9.figshare.21424257.v4
title: Investigating the Relationship between Spatial Skills and Web Mapping Application Performance among University Students

description: The documents included in this dataset consistis of: <br> a) the dataset of collected participants responses, in the form of a zip archive (spatialskillssurvey.7z). <br> and <br> b) the R script (WebMappingApp_SpatialThinking_v2.R) to run the statistical analysis detailed in the paper, to create figures 3-7 and to generate the contents of tables 1-9.
DOI: 10.6084/m9.figshare.21424257.v3
title: University students’ spatial skills and their effect on web mapping applications performance

description: The documents included in this dataset consistis of: <br> a) the dataset of collected participants responses, in the form of a zip archive (spatialskillssurvey.7z). <br> and <br> b) the R script (WebMappingApp_SpatialThinking.R) to run the statistical analysis detailed in the paper, to create figures 3-10 and to generate the contents of tables 1-7.
DOI: 10.6084/m9.figshare.22933694
title: Dataset Painn Model

description: The pytorch model can be used to run MD with the NeuralForceField repository. Units for the dataset are: kcal/mol for energy, kcal/mol-Å for forces, Å for units of length.
DOI: 10.5281/zenodo.7948824
title: Supplemental Material for Manuscript: A Network Approach to Zooarchaeological Datasets and Human-Centered Ecosystems

description: Supplemental Material for Manuscript: A Network Approach to Zooarchaeological Datasets and Human-Centered Ecosystems
DOI: 10.5281/zenodo.7948823
title: Supplemental Material for Manuscript: A Network Approach to Zooarchaeological Datasets and Human-Centered Ecosystems

description: Supplemental Material for Manuscript: A Network Approach to Zooarchaeological Datasets and Human-Centered Ecosystems
DOI: 10.5066/p9zavsbv
title: Terrestrial LiDAR Point Clouds and Channel Morphology Assessments along Midway Branch in Fort Meade, Maryland, for 2020-2022

description: This metadata record documents six LiDAR point clouds, six point cloud generation reports, and three comma-delimited tables that contain information on local channel morphology and topography for a select number of reaches along Midway Branch and its associated tributaries within the confines of Fort George G. Meade, Fort Meade, Maryland. Point cloud generation reports include diagnostic information regarding errors introduced during registration and other associated processing steps. Information included in the comma-delimited tables include data regarding bed, bank, and overall channel characteristics for each reach surveyed.
DOI: 10.6084/m9.figshare.21563523.v3
title: a case-control study and systematically evaluate on association between H. pylori infection and IL4, TNFA, and IL10 polymorphisms

description: a case-control study and systematically evaluate on association between <em>H. pylori </em>infection and<em> IL4, TNFA, </em>and <em>IL10</em> polymorphisms in a Chinese Han population in northwestern China
DOI: 10.5066/p9d0e8oc
title: Stem and Needle Growth for Whitebark Pine in the Sierra Nevada

description: These data represent stem growth, needle length growth, and carbon stable isotope ratios from whitebark pine at 27 sites in the Sierra Nevada of California. Values for stem growth were derived from increment cores, processed following standard methods. Needle characteristics were captured for individual trees across all years needles were present on the internodes. Needle length was measured in the lab for three healthy needles per tree and initiation year. For stable carbon isotopes, samples were pulverized in the lab and then were sent to the Analytical Laboratory at the University of California, Davis (UC Davis) for weighing and encapsulation. Carbon and nitrogen isotopic values were estimated by the Stable Isotope Facility at UC Davis. These data support the following publication: Dudney, J., Latimer, A.M., van Mantgem, P., Zald, H., Willing, C.E., Nesmith, J.C., Cribbs, J. and Milano, E., 2023. The energy-water limitation threshold explains divergent drought responses in tree growth, needle length, and stable isotope ratios. Global Change Biology. https://doi.org/10.1111/gcb.16740
DOI: 10.5281/zenodo.7948857
title: amazona_mercenarius_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7948856
title: amazona_mercenarius_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7948852
title: Dataset for 'Identifying Pauli spin blockade using deep learning'

description: This data set contains the raw and processed data used in the publication 'Identifying Pauli spin blockade using deep learning' (https://arxiv.org/pdf/2202.00574.pdf). This also includes trained neural networks, and evaluation results from training neural networks. For code related to this publication, see https://github.com/oxquantum-repo/identifying_psb/.
DOI: 10.5281/zenodo.7948851
title: Dataset for 'Identifying Pauli spin blockade using deep learning'

description: This data set contains the raw and processed data used in the publication 'Identifying Pauli spin blockade using deep learning' (https://arxiv.org/pdf/2202.00574.pdf). This also includes trained neural networks, and evaluation results from training neural networks. For code related to this publication, see https://github.com/oxquantum-repo/identifying_psb/.
DOI: 10.25345/c5p55ds70
title: MassIVE MSV000091986 - SoDA-PAL Protein Profiling Proteomics of Sorgoleone Catabolizing Microbial Isolate Acinetobacter pittii SO1
title: Photoaffinity probe-based protein labeling of microbial isolate Acinetobacter pittii SO1 (NCBITAXON:48296), isolated from the sorghum rhizosphere that can utilize sorgoleone as a sole carbon source in order to identify proteins that bind sorgoleone. Photoaffinity labeling of A. pittii lysates using the SoDA-PAL probe approach may be extended in the future to proteomic profiling of complex rhizosphere microbiomes to discover genes that can be leveraged to promote beneficial plant-microbe interactions (grown on both acetate and purified sorgoleone). Eluted peptides from the C18 column were analyzed using a Q-Exactive Plus Orbitrap for high resolution MS and high-energy collision-induced dissociation tandem MS by electrospray ionization for subsequent quantitative proteomic analysis.
DOI: 10.15472/dfzkex
title: Registros biológicos de especies de escarabajos visitantes florales de plantas florales (Coleoptera: Scarabaeidae “Pleurosticti”) de la Colección Entomológica del Instituto Humboldt

description: En el marco del proyecto BIDCA2020-047-USE: Datos basados en colecciones para acciones de conservación: Promoviendo la participación de tomadores de decisiones para salvar epífitas amenazadas globalmente en Colombia, se presenta el registro de escarabajos considerados visitantes florales (Coleoptera: Scarabaeidae “Pleurosticti”) de la Colección Entomológica del Instituto Alexander Von Humboldt en el estándar Darwin Core. Se realizó la determinación de 1701 ejemplares de Coleoptera: Scarabaeidae correspondientes a cuatro sub-familias: Cetoniinae, Dynastinae, Melolonthinae y Rutelinae, 37 géneros, 127 especies y 5 sub-especies. De estos 1701 ejemplares 297 ejemplares fueron determinados a género, 1373 ejemplares fueron determinados a especie y 31 a subespecie. Los géneros con mayor número de registros corresponden en primer lugar a Cyclocephala con 663 registros, Ancognatha con 269 registros, Paranomala con 154 registros y Aspidolea con 111 registros. Por otra parte, los géneros con menor número de registros fueron Hemiphileurus, Howdenipa, Leucothyreus, Macraspis, Parapucaya, Pseudothyridium, y Ptenomela, cada uno de estos con 1 solo registro. De igual forma, el género con mayor número de especies registradas fue Cyclocephala, con 57 especies, Pelidnota con 10 especies, Phyllophaga con 9 especies, Aspidolea con 7 especies y Gymnetis con 6. Los siguientes géneros fueron representados por una sola especie, Bothynus, Cotinis, Dyscinetus, Euphoria, Faula, Golinca, Howdenypa, Isonychus, Macraspis, Manopus, Marmarina, Parapucaya, Paulosawaya, Phileurus, Pucaya, Rutela y Xenopelidnota. Géneros como, Astaena, Hemiphileurus, Lucothyreus, Macrodactylus, Plectris, Pseudothyridium, Ptenomela y Strigoderma, solo fue posible determinarlos hasta este nivel taxonómico. Los ejemplares documentados se encuentran asociados a diferentes áreas del territorio colombiano contemplando 27 departamentos del país. Estos datos se encuentran disponibles En http://i2d.humboldt.org.co/ceiba/resource.do?r=rrbb_escarab_vfloral_iavh-e_2022 y en el recurso correspondiente a la Colección de Entomología del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-E) disponible en: http://doi.org/10.15472/vmpedy
DOI: 10.3886/icpsr38738
title: COVID Behind Bars: Transparency of COVID Data in Juvenile Justice Facilities, United States, 2022
title: Archival Version

description: This dataset was put together by the COVID Behind Bars' Youth Team to track which juvenile justice facilities published COVID-related data, including case and vaccination rates.
description: The purpose of this study is to serve as a source of compiled information regarding juvenile justice facilities in the United States during the COVID-19 pandemic.
description: The information in this study pertains to juvenile justice facilities and COVID-19 infection and vaccination rates among inmates and staff.
description: Datasets: DS1: COVID Behind Bars: Transparency of COVID Data in Juvenile Justice Facilities, United States, 2022
description: Juvenile justice facilities in the United States during the COVID-19 pandemic. Smallest Geographic Unit: State
description: web scrapingFor more information on this study, please visit the COVID Behind Bars website.These data are a Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped for release.
DOI: 10.3886/icpsr38738.v1
title: COVID Behind Bars: Transparency of COVID Data in Juvenile Justice Facilities, United States, 2022
title: Version 1

description: This dataset was put together by the COVID Behind Bars' Youth Team to track which juvenile justice facilities published COVID-related data, including case and vaccination rates.
description: The purpose of this study is to serve as a source of compiled information regarding juvenile justice facilities in the United States during the COVID-19 pandemic.
description: The information in this study pertains to juvenile justice facilities and COVID-19 infection and vaccination rates among inmates and staff.
description: Datasets: DS1: COVID Behind Bars: Transparency of COVID Data in Juvenile Justice Facilities, United States, 2022
description: Juvenile justice facilities in the United States during the COVID-19 pandemic. Smallest Geographic Unit: State
description: web scrapingFor more information on this study, please visit the COVID Behind Bars website.These data are a Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped for release.
DOI: 10.15784/601691
title: Antarctic Subsea Cable Workshop Report

description: Final report of the 2021 Antarctic Subsea Cable Workshop, held virtually June 29 - July 1. The National Science Foundation (NSF)-funded workshop addressed questions around the value and feasibility of deploying a new optical fiber submarine cable system that would supply high-speed internet connectivity to McMurdo Station to address the severe network bandwidth bottlenecks that currently constrain scientific research in Antarctica.
DOI: 10.34740/kaggle/dsv/5717638
title: USGS Georgia Streamgages May 2023
DOI: 10.34740/kaggle/dsv/5717625
title: USGS Florida Streamgages May 2023
DOI: 10.34740/kaggle/dsv/5717610
title: USGS Delaware Streamgages May 2023
DOI: 10.34740/kaggle/dsv/5717577
title: USGS Washington, D.C. Streamgages May 2023
DOI: 10.5517/ccdc.csd.cc2f5z8w
title: CCDC 2240068: Experimental Crystal Structure Determination

description: Related Article: Li-Juan Zhao, Bin Li, Guo-Ping Yong|2023|CrystEngComm|25|2813|doi:10.1039/D3CE00142C
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.cc2f3692
title: CCDC 2237403: Experimental Crystal Structure Determination

description: Related Article: Noah Holzer, Jiacheng Jin, Vladimir N. Nesterov, Jatan K. Sharma, Niloofar Zarrabi, Francis D’Souza, Prashanth K. Poddutoori|2023|Inorg.Chem.|62|7097|doi:10.1021/acs.inorgchem.3c00635
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: 10.34740/kaggle/dsv/5717562
title: USGS Connecticut Streamgages May 2023
DOI: 10.5517/ccdc.csd.cc2ffhds
title: CCDC 2247295: Experimental Crystal Structure Determination

description: Related Article: Vignesh Athiyarath, Liby Ann Mathew, Yakai Zhao, Ravichandran Khazeber, Upadrasta Ramamurty, Kana M. Sureshan|2023|Chemical Science|14|5132|doi:10.1039/D3SC00053B
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.cc2fgsh6
title: CCDC 2248538: Experimental Crystal Structure Determination

description: Related Article: Markus M. Katzenmayer, Felix Kracht, Cäcilia Maichle-Mössmer, Reiner Anwander|2023|Dalton Trans.|52|6273|doi:10.1039/D3DT00861D
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.cc2fgsj7
title: CCDC 2248539: Experimental Crystal Structure Determination

description: Related Article: Markus M. Katzenmayer, Felix Kracht, Cäcilia Maichle-Mössmer, Reiner Anwander|2023|Dalton Trans.|52|6273|doi:10.1039/D3DT00861D
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.cc2fgsk8
title: CCDC 2248540: Experimental Crystal Structure Determination

description: Related Article: Markus M. Katzenmayer, Felix Kracht, Cäcilia Maichle-Mössmer, Reiner Anwander|2023|Dalton Trans.|52|6273|doi:10.1039/D3DT00861D
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.cc2fgsl9
title: CCDC 2248541: Experimental Crystal Structure Determination

description: Related Article: Markus M. Katzenmayer, Felix Kracht, Cäcilia Maichle-Mössmer, Reiner Anwander|2023|Dalton Trans.|52|6273|doi:10.1039/D3DT00861D
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.cc2dl2dh
title: CCDC 2221906: Experimental Crystal Structure Determination

description: Related Article: Jiayao Zhang, Saurav Bhattacharya, Anja B. Müller, Levente Kiss, Cristian Silvestru, Nikolai Kuhnert, Ulrich Kortz|2023|Chem.Commun.|59|5918|doi:10.1039/D3CC00243H
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.cc2d3dc9
title: CCDC 2207800: Experimental Crystal Structure Determination

description: Related Article: Tatyana V. Balashova, Maxim V. Arsenyev, Svetlana K. Polyakova, Vasily A. Ilichev, Roman V. Rumyantcev, Georgy K. Fukin, Artem N. Yablonskiy, Mikhail N. Bochkarev|2023|New J.Chem.|47|9164|doi:10.1039/D3NJ00625E
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.cc2d3ddb
title: CCDC 2207801: Experimental Crystal Structure Determination

description: Related Article: Tatyana V. Balashova, Maxim V. Arsenyev, Svetlana K. Polyakova, Vasily A. Ilichev, Roman V. Rumyantcev, Georgy K. Fukin, Artem N. Yablonskiy, Mikhail N. Bochkarev|2023|New J.Chem.|47|9164|doi:10.1039/D3NJ00625E
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.