cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24556768.v1
title: Output files from PyMoL

description: Conformational structures of 5-aminolevlinic acid dehydratase (ALAD) derived from <i>Homo sapience</i><i> </i>(in blue, PDB 1E51) and <i>Escherichia coli</i><i> </i>(in orange, PDB 1B4E). K13, E87, G131, G268, and A269 on the <i>E. coli</i> ALAD structurally correspond to F12, E89, G133, A274, and AV275 on the <i>H. sapience</i> ALAD, respectively. Porphobilinogen (PGB) products are shown in green wire forms. The figure was prepared using PyMoL (The PyMOL Molecular Graphics System, Version 2.0 Schrödinger, LLC.).
DOI: 10.6084/m9.figshare.24556828
title: Numeric data for<i> E. coli </i>growth curve

description: Growth of the derivertives of <i>Escherichia coli</i><i> </i>strain W3110 hemB with <i>hemB</i> deletion (referred to as strain ∆B) harboring the plasmids for expression of <i>hemB</i><i> </i>or its mutated gene with single amino acid substitution, namely the strains ∆B_B, ∆B_B'[K13L], ∆B_B'[E87K], ∆B_B'[G131R], ∆B_B'[G268T], and ∆B_B'[A269M] (inset: specific growth rates of each strain). Growth was evaluated by measuring the optical density at 660 nm (OD<sub>660</sub>).
DOI: 10.25919/2ywz-kz60
title: Global Petrophysical Database

description: The Global Petrophysical Database (GPD) is a global compilation of petrophysical properties for a wide range of rock types, obtained using a variety of in-situ and laboratory measurement techniques. Properties include porosity, density, permeability/hydraulic conductivity, diffusion coefficients, tortuosity, thermal conductivity, specific heat capacity and radiogenic heat production. Mechanical properties are not currently included. The GPD incorporates data from several pre-existing databases (covering more than 600 publications) and more than 50 individual publications. The data can be used and analysed in many ways, such as identifying depth trends or correlations between parameters. The original purpose of this dataset was to provide information to inform site selection and post-closure safety assessments for geological disposal of radioactive waste. However, the data may be useful for a wide range of geoscientific applications, including hydrogeology, mineral exploration, geothermal studies, petroleum geology, CO2 geosequestration, H2 storage and contaminant dispersal studies. The dataset is provided in the form of a spreadsheet and CSV files corresponding to each worksheet.
DOI: 10.5281/zenodo.10121500
title: NASA 3D images catalog

description: El archivo CSV nasa_3d_models.csv contiene información detallada sobre modelos 3D recopilada del sitio web de la NASA. Los campos incluyen:
Titles: Título del modelo 3D.
Descriptions: Descripción del modelo 3D.
Imagen3D Links: URL de la imagen 3D del modelo.
Authors: Autores u origen del modelo.
Missions: Misión relevante del modelo.
Dates: Fecha de agregado del modelo.
Keywords: Palabras clave asociadas al modelo.
Repositories: Enlace al repositorio de GitHub del modelo.
zips: URL del archivo ZIP asociado al modelo.
DOI: 10.5281/zenodo.10121501
title: NASA 3D images catalog

description: El archivo CSV nasa_3d_models.csv contiene información detallada sobre modelos 3D recopilada del sitio web de la NASA. Los campos incluyen:
Titles: Título del modelo 3D.
Descriptions: Descripción del modelo 3D.
Imagen3D Links: URL de la imagen 3D del modelo.
Authors: Autores u origen del modelo.
Missions: Misión relevante del modelo.
Dates: Fecha de agregado del modelo.
Keywords: Palabras clave asociadas al modelo.
Repositories: Enlace al repositorio de GitHub del modelo.
zips: URL del archivo ZIP asociado al modelo.
DOI: 10.25345/c5pr7n49z
title: MassIVE MSV000093394 - chronic carnitine treatment (negative mode)
title: Samples from mice infected and then treated with vehicle, carnitine or benznidazole in the chronic stage of infection. Tissue samples extracted with 50% methanol followed by 3:1 dichloromethane:methanol. C8 chromatography with negative mode data acquisition
DOI: 10.25345/c5k06xb6m
title: MassIVE MSV000093395 - Comparison of monoculture to coculture colon cancer cell-line generated spheroids
title: Chromatogram library generated of pooled sample. Coculture spheroids formed from fibroblast and colon cancer cell lines, and monoculture spheroids formed from the colon cancer cell line HCT116.
DOI: 10.6084/m9.figshare.24557605
title: Gene sequence file (fasta)

description: DNA sequences of the wild type and mutated <i>hemB </i>genes of <i>Escherichia coli</i>.
DOI: 10.6084/m9.figshare.24557605.v1
title: Gene sequence file (fasta)

description: DNA sequences of the wild type and mutated <i>hemB </i>genes of <i>Escherichia coli</i>.
DOI: 10.25919/10h0-yf37
title: East Australian Current individual mooring gridded product - daily and 10-20m depth gridded

description: This daily- and depth-gridded product of currents, temperature and salinity (one file per mooring) is produced from individual instrument files collected during six 18-month deployments in the East Australian Current (EAC) off Brisbane, Australia (2012-2022). As described in the 'Lineage' Section, there are two versions of each variable (TEMP, UCUR, VCUR, PSAL) in these files. One has missing data with fill values and the *_FILLED variable has missing data filled using a neural network Self Organising Maps (SOM). The data can be used for time series analysis of individual moorings in the EAC deployments. The dataset is fully described in: Sloyan, B., Cowley, R., and Chapman, C.C. (2023). East Australian Current velocity, temperature and salinity data products. Nature Scientific Data. Submitted
DOI: 10.25919/7mkz-3928
title: East Australian Current individual mooring gridded product - hourly and 10-20m depth gridded

description: This hourly- and depth-gridded product of currents, temperature and salinity (one file per mooring) is produced from individual instrument files collected during six 18-month deployments in the East Australian Current (EAC) off Brisbane, Australia. The data can be used for time series analysis of individual moorings in the EAC deployments. The dataset is fully described in: Sloyan, B., Cowley, R., and Chapman, C.C. (2023). East Australian Current velocity, temperature and salinity data products. Nature Scientific Data. Submitted
DOI: 10.17909/jvzq-5d59
title: Jet-ISM_NGC4395_HST
DOI: 10.5281/zenodo.10089690
title: Data on 1, 4, 5, 6-Tetrahydro-2-methyl-4-pyrimidinecarboxylic acid (THMP) analysis from Halomonas

description: Unpublished data on novel protein 1, 4, 5, 6-tetrahydro-2-methyl-4-pyrimidinecarboxylic acid (THMP) from Halomonas species.
DOI: 10.5281/zenodo.10089691
title: Data on 1, 4, 5, 6-Tetrahydro-2-methyl-4-pyrimidinecarboxylic acid (THMP) analysis from Halomonas

description: Unpublished data on novel protein 1, 4, 5, 6-tetrahydro-2-methyl-4-pyrimidinecarboxylic acid (THMP) from Halomonas species.
DOI: 10.5517/ccdc.csd.cc2g6wwg
title: CCDC 2270746: Experimental Crystal Structure Determination

description: Related Article: Marco Bortoluzzi, Lodovico Agostinis, Stefan Ghincolov, Valentina Ferraro, Giacomo Marra, Jesús Castro
|2023|Chem.Papers|77|7999|doi:10.1007/s11696-023-03028-3
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.cc2g6wxh
title: CCDC 2270747: Experimental Crystal Structure Determination

description: Related Article: Marco Bortoluzzi, Lodovico Agostinis, Stefan Ghincolov, Valentina Ferraro, Giacomo Marra, Jesús Castro
|2023|Chem.Papers|77|7999|doi:10.1007/s11696-023-03028-3
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.10117911
title: Logic-Induced-Long-Tail (LINT)

description: Logic-Induced-Long-Tail (LINT) dataset for arxiv paper "IN SEARCH OF THE LONG-TAIL: SYSTEMATIC GENERATION OF LONG-TAIL KNOWLEDGE VIA LOGICAL RULE GUIDED SEARCH."
DOI: 10.5281/zenodo.8384877
title: Logic-Induced-Long-Tail (LINT)

description: Logic-Induced-Long-Tail (LINT) dataset for arxiv paper "IN SEARCH OF THE LONG-TAIL: SYSTEMATIC GENERATION OF LONG-TAIL KNOWLEDGE VIA LOGICAL RULE GUIDED SEARCH."
DOI: 10.5281/zenodo.8384878
title: Logic-Induced-Long-Tail (LINT)

description: Logic-Induced-Long-Tail (LINT) dataset for ICLR 2024 submission, Paper ID 6959. Paper title: IN SEARCH OF THE LONG-TAIL: SYSTEMATIC GENERATION OF LONG-TAIL KNOWLEDGE VIA LOGICAL RULE GUIDED SEARCH.
DOI: 10.6084/m9.figshare.19382831
title: Dataset for a blockchain-driven scalable COVID-19 data management scheme.xlsx

description: Dataset of the work consists of 3 excel workbooks. They are briefly described below :(1) <b>1_million_primary_transactions</b>This file contains 1 million data (transactions) of participants that is used in our blockchain experimentation. These transactions (aka primary data) are stored in local chain of our architecture.(2) <b>1_million_secondary_transactions</b>This file contains 1 million data (transactions) of participants that is used in our blockchain experimentation. These transactions (aka secondary data) are stored in off-chain of our architecture.<br><br>
DOI: 10.6084/m9.figshare.19382831.v4
title: Dataset for a blockchain-driven scalable COVID-19 data management scheme.xlsx

description: Dataset of the work consists of 3 excel workbooks. They are briefly described below :(1) <b>1_million_primary_transactions</b>This file contains 1 million data (transactions) of participants that is used in our blockchain experimentation. These transactions (aka primary data) are stored in local chain of our architecture.(2) <b>1_million_secondary_transactions</b>This file contains 1 million data (transactions) of participants that is used in our blockchain experimentation. These transactions (aka secondary data) are stored in off-chain of our architecture.<br><br>
DOI: 10.25375/uct.12826385
title: JSE Comparison Data - SBK.J NPNn.J SLM.J

description: This is test comparator TAQ data for tickers: SBK and NPN. The data was prepared by Patrick Chang and sourced from UCT libraries Bloomberg terminal using the BLPAPI. This is historic transaction data. The use case is to compare EDA for A2X with EDA for the JSE on two indicative counters. The data is provided as raw transaction data in CSV file formats. The data starts 2018-12-31 and ends 2019-07-15. The files are with corrected time-stamps using UTC+2. The data includes auction data, continuous trading data and over-night data corrections.<br>Source: Bloomberg
DOI: 10.25375/uct.12826385.v1
title: JSE Comparison Data - SBK.J NPNn.J SLM.J

description: This is test comparator TAQ data for tickers: SBK and NPN. The data was prepared by Patrick Chang and sourced from UCT libraries Bloomberg terminal using the BLPAPI. This is historic transaction data. The use case is to compare EDA for A2X with EDA for the JSE on two indicative counters. The data is provided as raw transaction data in CSV file formats. The data starts 2018-12-31 and ends 2019-07-15. The files are with corrected time-stamps using UTC+2. The data includes auction data, continuous trading data and over-night data corrections.<br>Source: Bloomberg
DOI: 10.6084/m9.figshare.24558059.v1
title: Additional file 2 of Usefulness of the autism spectrum quotient (AQ) in screening for autism spectrum disorder and social communication disorder

description: Supplementary Material 2: Demographic and clinical data of typically developing individuals
DOI: 10.6084/m9.figshare.24558059
title: Additional file 2 of Usefulness of the autism spectrum quotient (AQ) in screening for autism spectrum disorder and social communication disorder

description: Supplementary Material 2: Demographic and clinical data of typically developing individuals
DOI: 10.17632/mr6mrtjwfb.1
title: Utilization of the powder coating waste in the production of concrete mixes

description: Powder coating wastes were tested as a plasticizing additive in concrete mixes and as pigments for bulk coloring of silicate bricks. The test results identified a plasticizing activity of the powder coating wastes in the concrete mixtures. Also detected low efficiency of the usage of powder coating wastes as pigment materials in bulk coloring of silicate bricks. This dataset accompanies the paper Izmaylov Valeriy; Utilization of the powder coating waste in the production of concrete mixes; “Lakokrasochnye materialy i ikh primenenie”, No 10, 2023 yr., pp. 37-39. ISSN 0130-9013. Please cite the above reference if you wish to use this data.
DOI: 10.21227/j9rb-5v64
title: NAND Flash-based Synthetic Block IO traces from FIO benchmark

description: NAND Flash-based Synthetic Block IO traces from FIO benchmark is focused on understanding characteristics of flash memoy under various access patterns. The dataset comprises distinct seven wrorkloads.Workoad 1 and 2 are sequentail write workloads. Workload 1 represents the typical seuqential write pattern, while Workload 2 represents partioning sequential write pattern, dividing 8 logical partitions.Workload 3 and 4 are random write workloads. Workload 3 follows a uniform random distribution, and Worklod 4 follows the Zipfian random distribution with a theta of 0.8.Workload 5, 6, and 7 include a combination of sequential and random writes, dividing 8 logical partitions. Workload 5: 2 partitions with sequentail writes and 6 partitions with random writesWorkload 6: 4 partitions with sequential writes and 4 partitons with random writesWorkload 7: 6 partitions with sequential writes and 2 partitons with random writes
DOI: 10.5281/zenodo.8347540
title: Chatbot user behaviour - dataset in SPSS

description: The data set is the data acquired through a survey among chatbot users of online travel agencies (OTAs)  in India.
DOI: 10.5281/zenodo.8347541
title: Chatbot user behaviour - dataset in SPSS

description: The data set is the data acquired through a survey among chatbot users of online travel agencies (OTAs)  in India.
DOI: 10.5281/zenodo.10058730
title: Microevolution Hypothesis of the Obesity Epidemic Dataset

description: Includes all data used in study titled: "The Microevolutionary Hypothesis of the Obesity Epidemic" including National obesity rates, Maternal Death Rates, Maternal Morality, GDP, calorie intake, physical inactivity, antibiotic use
DOI: 10.5281/zenodo.10058731
title: Microevolution Hypothesis of the Obesity Epidemic Dataset

description: Includes all data used in study titled: "The Microevolutionary Hypothesis of the Obesity Epidemic" including National obesity rates, Maternal Death Rates, Maternal Morality, GDP, calorie intake, physical inactivity, antibiotic use
DOI: 10.6084/m9.figshare.24557221
title: Coastal Mountains Amplified the Impacts of Orbital Forcing on East Asian Climate in the Late Cretaceous

description: We simulated the Cretaceous Asian climate using the Community Earth System Model version 1.2.2. In these modeling experiments, the orbital forcing and altitude of the East Asia coastal mountains are considered. Three sets of experiments are conducted with different orbital configurations. In the first set (orbA), the eccentricity of Earth’s orbit is fixed at 0 and the obliquity at 23.5°; In the second set (orbB), the eccentricity of Earth’s orbit is fixed at 0.066 (close to the max. eccentricity) and the obliquity at 24.5° with a perihelion precession. In the third set (orbC), the eccentricity of Earth’s orbit is fixed at 0.066 and the obliquity at 22.5° with an aphelion precession. For each set of experiments, three model runs were carried out with the coastal mountains of 0, 2, and 4 km high, respectively. The vertical vilocity (OMEGA, Pa/s), precipitatin (mm/day), total diabatic heating (k/day), U and V winds (m/s), moisture transport (kg/m/s), and geopotential heights (m) during summer are included here.
DOI: 10.6084/m9.figshare.24557221.v1
title: Coastal Mountains Amplified the Impacts of Orbital Forcing on East Asian Climate in the Late Cretaceous

description: We simulated the Cretaceous Asian climate using the Community Earth System Model version 1.2.2. In these modeling experiments, the orbital forcing and altitude of the East Asia coastal mountains are considered. Three sets of experiments are conducted with different orbital configurations. In the first set (orbA), the eccentricity of Earth’s orbit is fixed at 0 and the obliquity at 23.5°; In the second set (orbB), the eccentricity of Earth’s orbit is fixed at 0.066 (close to the max. eccentricity) and the obliquity at 24.5° with a perihelion precession. In the third set (orbC), the eccentricity of Earth’s orbit is fixed at 0.066 and the obliquity at 22.5° with an aphelion precession. For each set of experiments, three model runs were carried out with the coastal mountains of 0, 2, and 4 km high, respectively. The vertical vilocity (OMEGA, Pa/s), precipitatin (mm/day), total diabatic heating (k/day), U and V winds (m/s), moisture transport (kg/m/s), and geopotential heights (m) during summer are included here.
DOI: 10.21227/7nkz-9p74
title: EvIs-Kitchen 

description: Egocentric video and Inertial sensor data Kitchen activity dataset is the first V-S-S interaction-focused dataset for the ego-HAR task.It consists of sequences of everyday kitchen activities involving rich interactions among the subject's body, object, and environment.Besides the egocentric videos recorded by the GoPro camera, our dataset also includes the inertial sensor data recorded from the Fitbit watches attached on the subject's wrists, which are synchronized and correlated with the video data stream.In total, our dataset contains 4,527 action samples from 12 subjects and 7 recipes, with 35 verb classes label and 56 noun classes label.
DOI: 10.17632/b6ycptcycn.1
title: Bibliometric Network Mapping of Farm Accounting Studies Using a Comprehensive Dataset

description: This data article aims to analyze the intellectual structure of farm accounting studies by examining bibliometric features. A dataset comprising 190 documents from the ISI Database within the farm accounting field was utilized. It delved into various aspects including the yearly publication and citation count concerning agricultural accounting, predominant research areas, keyword co-occurrence, bibliographic coupling among sources and documents, as well as co-citation patterns of referenced materials. Bibliometric network mapping techniques were employed for the analysis of the data. The analysis was conducted using VOSviewer, a scientific mapping analysis tool, and employed the bibliometric analysis method with the ISI (Web of Science) database, which contains scientific journals, books, and conference proceedings and is well-established and widely recognized.
DOI: 10.17632/p8988t5cwg.4
title: CBD2023:A Hypercomplex Bangla Handwriting Character Recognition Dataset for Hierarchical Class Expansion Using Deep Learning

description: This dataset comprises approximately 80,000 meticulously organized Bangla character images, serving as a valuable resource for research in Bangla character recognition. Featuring 583 distinct character classes, including numerical characters, it provides a comprehensive foundation for researchers exploring various machine learning algorithms, developing deep neural networks, or conducting comparative studies in the field. To generate this dataset, Bangla words were initially written on A4-sized pages. Photocopies of the text were distributed to individuals, primarily students from Naxzirhat Collegiate High School and Nazirhat College. Participants reproduced the text on another A4-sized paper based on the photocopy. The resulting dataset is organized as a zip file containing two main folders: "traindata" and "testdata." Traindata: Together Folder: This folder contains all images without labels. The corresponding labels and image names are stored in a CSV file called "full_df_train.csv." The CSV file has three columns: "image_name," "Label," and "long_label." The "Label" column categorizes classes into broader groups such as 'consonant,' 'vowel,' 'compound,' 'number,' 'kar-fola,' etc. The "long_label" column provides more detailed labels, with 583 individual classes denoted by numbers like 1, 2, 3, 4, etc. Total_datafinal Folder: This folder is independent and contains 583 subfolders, each representing a distinct class. Images within each subfolder correspond to the respective class name. Unlike the "Together" folder, the images here are labeled independently, making it suitable for different use cases. The "long_label" in the "Together" folder and the subfolder names in this folder are identical. Testdata: Test_Datatogether Folder: Similar to the "Together" folder in the training data, this folder contains images without labels. The corresponding labels and image names are stored in a CSV file connected to it. Test_Data Folder: This folder is independent and mirrors the structure of the "Total_datafinal" folder in the training set. It consists of 583 subfolders, each representing a class, with images stored accordingly. The meticulous organization ensures the dataset's usability and accessibility for various research applications in the realm of Bangla character recognition. Researchers can leverage this dataset for tasks such as Bangla character recognition, with the flexibility to use the labeled or unlabeled versions based on their specific requirements.
DOI: 10.17632/p8988t5cwg.2
title: CBD2023:A Hypercomplex Bangla Handwriting Character Recognition Dataset for Hierarchical Class Expansion Using Deep Learning

description: This dataset comprises approximately 80,000 Bangla character images, meticulously divided into training and test sets. Within this extensive collection, researchers will find a total of 580 distinct character classes, including numerical characters seamlessly integrated into the dataset. This rich and diverse dataset offers an invaluable resource for anyone embarking on research in the field of Bangla character recognition. Whether you are exploring novel machine learning algorithms, developing deep neural networks, or conducting comparative studies, this dataset provides a robust foundation for your research endeavors. Its carefully curated contents and clear division between training and testing data ensure that researchers can readily access and harness this data to advance the frontier of Bangla character recognition.