cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2g4t4l
title: CCDC 2268739: Experimental Crystal Structure Determination

description: Related Article: Erika Saito, Ryohei Yamakado, Taichi Yasuhara, Hiroto Yamaguchi, Shuji Okada, Tsukasa Yoshida|2023|RSC Advances|13|32039|doi:10.1039/D3RA06782C
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.cc2g7nx9
title: CCDC 2271491: Experimental Crystal Structure Determination

description: Related Article: Paul Richardson, Alexandros A. Kitos, Michael Triglav, Jeffrey S. Ovens, Isabelle Laroche, Stéphanie Delisle, Benoit Jolicoeur, Jaclyn L. Brusso, Muralee Murugesu|2023|Mat.Advs.|4|5775|doi:10.1039/D3MA00410D
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.cc2g85kh
title: CCDC 2271976: Experimental Crystal Structure Determination

description: Related Article: K. Mohamed Yusuf Baig, Goutam Kumar Kole|2023|CrystEngComm|25|6204|doi:10.1039/D3CE00756A
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.cc2g85lj
title: CCDC 2271977: Experimental Crystal Structure Determination

description: Related Article: K. Mohamed Yusuf Baig, Goutam Kumar Kole|2023|CrystEngComm|25|6204|doi:10.1039/D3CE00756A
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.cc2g85mk
title: CCDC 2271978: Experimental Crystal Structure Determination

description: Related Article: K. Mohamed Yusuf Baig, Goutam Kumar Kole|2023|CrystEngComm|25|6204|doi:10.1039/D3CE00756A
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.cc2g85nl
title: CCDC 2271979: Experimental Crystal Structure Determination

description: Related Article: K. Mohamed Yusuf Baig, Goutam Kumar Kole|2023|CrystEngComm|25|6204|doi:10.1039/D3CE00756A
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.cc2g85pm
title: CCDC 2271980: Experimental Crystal Structure Determination

description: Related Article: K. Mohamed Yusuf Baig, Goutam Kumar Kole|2023|CrystEngComm|25|6204|doi:10.1039/D3CE00756A
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.cc2g85qn
title: CCDC 2271981: Experimental Crystal Structure Determination

description: Related Article: K. Mohamed Yusuf Baig, Goutam Kumar Kole|2023|CrystEngComm|25|6204|doi:10.1039/D3CE00756A
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.cc2gcfny
title: CCDC 2275110: Experimental Crystal Structure Determination

description: Related Article: Ying Zhang, Jimin Yang, Yu-Long Ruan, Ling Liao, Chuang Ma, Xiao-Song Xue, Jin-Sheng Yu|2023|Chemical Science|14|12676|doi:10.1039/D3SC04474B
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.cc2gcft3
title: CCDC 2275115: Experimental Crystal Structure Determination

description: Related Article: Ying Zhang, Jimin Yang, Yu-Long Ruan, Ling Liao, Chuang Ma, Xiao-Song Xue, Jin-Sheng Yu|2023|Chemical Science|14|12676|doi:10.1039/D3SC04474B
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.cc2gjnm9
title: CCDC 2280131: Experimental Crystal Structure Determination

description: Related Article: S. A. Barnett, C. L. Bull, N. P. Funnell, D. R. Allan|2023|CrystEngComm|25|6291|doi:10.1039/D3CE00737E
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.cc2gjnnb
title: CCDC 2280132: Experimental Crystal Structure Determination

description: Related Article: S. A. Barnett, C. L. Bull, N. P. Funnell, D. R. Allan|2023|CrystEngComm|25|6291|doi:10.1039/D3CE00737E
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.cc2gjnpc
title: CCDC 2280133: Experimental Crystal Structure Determination

description: Related Article: S. A. Barnett, C. L. Bull, N. P. Funnell, D. R. Allan|2023|CrystEngComm|25|6291|doi:10.1039/D3CE00737E
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: 10.17596/0003408
title: YMC Pilot Study in 2015

description: The goal of the "Years of the Maritime Continent (YMC)" is to expedite the progress of improving understanding and prediction of local multi-scale variability of the MC weather-climate system and its global impact through observations and modeling exercises. YMC Pilot Study in 2015 targets the Madden-Julian Oscillation (MJO) and diurnal cycle of rain. Here, data consist of ship-based, land-based, moorings, and autonomous surface vehicles taken in the Maritime Continent region.
DOI: 10.17596/0000030
title: WHP P14S, S04I REVISIT IN 2012 DATA BOOK
DOI: 10.21227/yjtm-6x74
title: IoT Data from IoT-23, NSL-KDD, and TON_IoT

description: As the Internet of Things (IoT) continues to evolve, securing IoT networks and devices remains a continuing challenge.The deployment of IoT applications makes protection more challenging with the increased attack surfaces as well as the vulnerable and resource-constrained devices. Anomaly detection is a crucial procedure in protecting IoT. A promising way to perform anomaly detection on IoT is through the use of machine learning algorithms. There is a lack in the literature to identify the optimal (with regard to both effectiveness and efficiency) anomaly detection models for IoT. To fill the gap, this work thoroughly investigated the effectiveness and efficiency of XGBoost in IoT anomaly detection and compared it with the well-known learning models, Support Vector Machines (SVM) and Deep Convolutional Neural Networks (DCNN). Identifying the optimal anomaly detection models for IoT is highly challenging due to diverse IoT applications and dynamic IoT networking environments. It is of vital importance to evaluate the ML powered anomaly detection models using multiple datasets collected from different environments. We utilized three well-known datasets to benchmark the aforementioned machine learning methods, namely, IoT-23, NSL_KDD, and TON_IoT. Our results show that XGBoost outperformed both SVM and DCNN achieving accuracies up to 99.98%. Moreover, XGBoost proved to be the most computationally efficient method where the model performed 717.75 times faster than SVM and significantly faster than DCNN in terms of training times. The research results have been further confirmed by using our real-world IoT data collected from an IoT testbed consisting of physical devices that we recently built. Our evaluation of the anomaly detection models using the real-world data proves that XGBoost can be used to efficiently and accurately detect anomalies in real-world IoT applications.
DOI: 10.5519/qd.cencumai
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.23576478.v1
title: out-final

description: output file from newAD2 software
DOI: 10.26186/149075
title: AHO Reference Surfaces Darwin 0.5m 2023 (20230012R)

description: The Darwin Reference Surfaces bathymetry survey was acquired for the Australian Hydrographic Office (AHO) on 8 Jul 2020. This surface was created from a contracted national reference survey in Darwin NT, collected for the purpose of calibrating multibeam echosounders. It was conducted for the Australian Hydrographic Office as part of the Hydroscheme Industry Partnership Program, acquired using R2Sonic 2026 and R2Sonic 2024, and processed using QPS Qimera. Separate grids in 0.5m resolution are provided for the two surveyed sites within this survey area in MSL, LAT and Ellipsoid vertical datum. The dataset was then exported as a 0.5m resolution, 32 bit floating point GeoTIFF grid of the survey area.This dataset is not to be used for navigational purposes.
DOI: 10.22032/dbt.35241
title: Within The Network Of Fluvial Ports : Database (csv)

description: European Harbour Data Repository, vol. 1Within The Network Of Fluvial Ports
DOI: 10.22032/dbt.35242
title: Within The Network Of Fluvial Ports : Database (xlsx)

description: European Harbour Data Repository, vol. 1Within The Network Of Fluvial Ports
DOI: 10.22032/dbt.35244
title: Images And Imaginations Of Roman Ports : Database (csv)

description: European Harbour Data Repository, vol. 2Images And Imaginations Of Roman Ports
DOI: 10.22032/dbt.35245
title: Images And Imaginations Of Roman Ports : Database (xlsx)

description: European Harbour Data Repository, vol. 2Images And Imaginations Of Roman Ports
DOI: 10.34943/5a64530c-15e1-4f2e-bc27-9bfd0f3a7e34
title: Chatham Sound Conductivity Temperature Depth Deployed 2023-09-16

description: The AML CTD Metrec X 50146 was deployed on 2023-09-16 at Chatham Sound. Chatham Sound is a sound on the North Coast of British Columbia, located between Dundas and Stephens Islands and the Tsimpsean Peninsula near Prince Rupert. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/5d5e8d7b-373a-47e1-a15f-027ece50eb39
title: Chatham Sound Conductivity Temperature Depth Deployed 2023-09-16

description: The AML CTD Metrec X 50146 was deployed on 2023-09-16 at Chatham Sound. Chatham Sound is a sound on the North Coast of British Columbia, located between Dundas and Stephens Islands and the Tsimpsean Peninsula near Prince Rupert. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.25612/837.w6vdoome0zzb
title: Housing Units in Harris County 2016

description: List of housing units in Harris County with age of unit (year erected) and classification according to four types.
DOI: 10.5517/ccdc.csd.cc2gv2fv
title: CCDC 2289177: Experimental Crystal Structure Determination

description: Related Article: Gowsia Jan, Diksha Rajput, Anish Gupta, Dolma Tsering, Muthu Karuppasamy, Kamal K. Kapoor, Vellaisamy Sridharan|2023|Org.Chem.Front.|10|5978|doi:10.1039/D3QO01529G
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: 10.25952/s3r3-kx63
title: Climatic Impacts on Productivity, Management and System Dynamics of Coastal Agriculture in Bangladesh

description: This dataset consists of face-to-face interviews conducted with 381 households located across 10 selected coastal locations of Bangladesh during September–October 2018 using a structured interview schedule. The interviews collected information on the coastal farmers’ farming systems and their personal, social, economic and psychological characteristics. Farmers’ perceptions of changes in temperature, rainfall, cyclones, floods, droughts, salinity, farm productivity, farm management and farming systems over the past decade (2009–2018) compared with the previous decade (1999–2008) are also included in this dataset.
description: This dataset consists of face-to-face interviews conducted with 381 households located across 10 selected coastal locations of Bangladesh during September–October 2018 using a structured interview schedule. The interviews collected information on the coastal farmers’ farming systems and their personal, social, economic and psychological characteristics. Farmers’ perceptions of changes in temperature, rainfall, cyclones, floods, droughts, salinity, farm productivity, farm management and farming systems over the past decade (2009–2018) compared with the previous decade (1999–2008) are also included in this dataset.
DOI: 10.34740/kaggle/dsv/7022180
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.25345/c5z02zk7j
title: MassIVE MSV000093453 - O-GlcNAc Containing Proteins in Normal and Idiopathic Pulmonary Fibrosis Human Fibroblasts
title: Isolated normal and IPF fibroblasts were homogenized in cold MilliQ water using a bullet blender. Samples were centrifuged and inhibitors were added: HALT (Thermo Fisher Scientific), Z-Pugnac (Tocris), Thiamet G (Cayman Chemicals), and benzonase (E1014, Millipore, Sigma). O-GlcNAc enzymatic labeling and protein capturing was performed as described using a Click-IT enrichment kit following the manufacturer's protocol (cat no: C33368, C33372, and C10416; Thermo Fisher Scientific). Following an alkyne agarose bead enrichment, proteins were reduced (5 mM DTT, 30 min at 37 C), alkylated (40 mM iodoacetamide, 1 h at 37C) and digested with trypsin (1:50 enzyme/protein ratio). 0.5 ug of samples were analyzed by LC-MS/MS on a Q-Exactive HF-X mass spectrometer. Data was searched using MSFragger in match between runs mode.
DOI: 10.15151/esrf-es-1398996878
title: BAG Barcelona

description: BAG Barcelona joins 9 groups that belong to two different research institutions: the Institute of Molecular Biology of Barcelona from the Spanish Research Council (IBMB-CSIC) and the Institute for Research in Biomedicine from Barcelona (IRB Barcelona). With a long tradition of accessing the ESRF, the main subjects of research from the BAG groups include protein/DNA complexes, components of viruses, molecular machines, molecular mechanisms of proteases and other enzymes, de-novo design of protein scaffolds and development of crystallopgrahic methods. Our scientific outcomes strongly rely on the excellent performance of ESRF beamlines, from which we are able to retrieve high-quality structural data with the exceptional support from their scientific staff .
DOI: 10.15151/esrf-es-1402683282
title: FInnish National Protein Crystallography Consortium

description: The Finnish BAG encompasses 24 groups active in crystallography in Finland. The projects vary widely and include membrane proteins and protein complexes, other proteins involved in disease and antibiotics and drug development and discovery (endoplasmic regulation and protein secretion, ADP-ribosylation and several oncogenic proteins including kinases, biocatalysis) and several pathogen proteins and various enzyme targets and e.g. studies on phytochrome photoreceptors and complexes involved in actin dynamics regulation. Overall the BAG serves the national needs for highly variable projects, with different biological and biotechnological applications. Several project will benefit from microfocus beam lines and tunable wavelength options for phasing, others benefit from quick robust screening by MASSIF.
DOI: 10.15151/esrf-es-1407411736
title: Structure of metalloproteins, membrane proteins, filamentous sarcomer proteins, and virus particles

description: Our work focusses on biological nitrogen fixation by Nitrogenase, on metalloenzymes and integral membrane proteins of bacterial and archaeal respiratory systems (Andrade/Einsle/Wohlwend), the working mechanism and regulation of medically relevant membrane proteins and complexes and their defects leading to pathologies (Hunte), bacterial antibiotic resistance factors and viral and bacterial proteins bound to their targets or inhibitors, and their interactions with glycans (Stehle/Zocher), human S100 proteins involved in nutritional immunity, USP18 enforcing the endogenous antiviral interferon response, and the respiratory complex NQR of V. cholerae (Fritz), DNA Polymerases with artificial substrates (Benz), and on multi-domain components of the sarcomeric filamentous protein titin and their binding to the E3 ubiquitin ligase MuRF1 and the central myosin rod-domain (Mayans).
DOI: 10.5281/zenodo.10183132
title: The 2023 Afghanistan earthquake cluster

description: The four tar files are the interferograms for the 2023 Afghanistan earthquake sequence. In each tar file, there include a phase file, incidence angle file, azimuth angle file, and their parameter information. 
Reference
He, P. Wen, Y.M., Zhong, Y.L., Cai, J.F. (2023). Isolated sources of the devastating 2023 Mw>6 Herat, Afghanistan earthquake swarm estimated by InSAR: tectonic implications and possible triggering mechanism
DOI: 10.5281/zenodo.10183131
title: The 2023 Afghanistan earthquake cluster

description: The four tar files are the interferograms for the 2023 Afghanistan earthquake sequence. In each tar file, there include a phase file, incidence angle file, azimuth angle file, and their parameter information. 
Reference
He, P. Wen, Y.M., Zhong, Y.L., Cai, J.F. (2023). Isolated sources of the devastating 2023 Mw>6 Herat, Afghanistan earthquake swarm estimated by InSAR: tectonic implications and possible triggering mechanism
DOI: 10.6084/m9.figshare.24602550
title: Data on the impact of CDK4/6 inhibitors on the quality of life of a portuguese cohort of working-age women with metastatic breast cancer.

description: Data on the effect of CDK4/6i combined with aromatase inhibitors (AIs) or fulvestrant on quality of life (QoL) and work activity in a cohort of 35 Portuguese patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2-) metastatic breast cancer who started this treatment regimen.To collect the data, we have used the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire C30 version 3 (QLQ-C30) and the breast cancer-specific Questionnaire (EORTC QLQ-BR23), and the Work Productivity and Activity Impairment questionnaire - General Health (WPAI:GH) questionnaires at four different time points throughout treatment.
DOI: 10.6084/m9.figshare.24602550.v1
title: quality of life of working-age women with metastatic breast cancer.xlsx

description: Data on the effect of CDK4/6i combined with aromatase inhibitors (AIs) or fulvestrant on quality of life (QoL) and work activity in a cohort of 35 Portuguese patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2-) metastatic breast cancer who started this treatment regimen.To collect the data, we have used the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire C30 version 3 (QLQ-C30) and the breast cancer-specific Questionnaire (EORTC QLQ-BR23), and the Work Productivity and Activity Impairment questionnaire - General Health (WPAI:GH) questionnaires at four different time points throughout treatment.
DOI: 10.5281/zenodo.10183206
title: GPR Replat Datasets - 17/11/2023
DOI: 10.5281/zenodo.10183207
title: GPR Replat Datasets - 17/11/2023
DOI: 10.21227/cm1g-gs26
title: SmartContract Addresses and Source Codes

description: 10.000 Smart contract addresses and its source codes. We previously had addresses whose codes were uploaded to Ethereum. The codes for these addresses were get from Ethereum using Python web3 libraries.The data set contains addresses in the ScAddresses.txt file. The source code of each address is also included in numbered text files.Other functions available in the API provided by Ethereum can be used for code-verified smart contracts.Python file functions were used to process these files.Decompiler tools have been tested using this dataset. Byte codes were also get from Ethereum by addresses for testing the decompiler tools.