cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pvz4y5xjwt.1
title: Comprehensive mapping and compositional analysis of the Alca obsidian source, Peru: Datasets and Supplementary Materials

description: The data archive includes compositional and geographic data for geologic samples from the Alca obsidian source in the Peruvian Andes. Compositional data for geologic samples from six other Peruvian obsidian sources are also included.

Tables S1-S4 provide data for samples in csv format: Table S1 neutron activation analysis (NAA) concentrations; Table S2 laboratory energy-dispersive x-ray fluorescence (ED-XRF) concentrations; Table S3 portable x-ray fluorescence (pXRF) concentrations; Table S4 portable x-ray fluorescence (pXRF) precision analysis. Concentrations are parts per million (ppm). Geographic coordinates are UTM Zone 18S, Datum WGS-84, elevations are meters above sea level.

The ED-XRF and pXRF datasets include compositional data for geologic samples from six other Peruvian obsidian sources: Anillo, Chivay, Jampatilla, Lisahuacho, Potreropampa, and Quispisisa.

Figures S1 and S2 are .tif maps plotting Alca obsidian geologic samples and Arma and Sencca ignimbrite formations mapped by Peru's Instituto Geológico Minero y Metalúrgico (INGEMMET).

Details on methods, results, and significance are in Rademaker et al. 2021, Quaternary International. 
https://doi.org/10.1016/j.quaint.2021.11.029
DOI: 10.17632/hsmzw47kbg.3
title: Supplementary resource_Pasciuto et al. 2020 Cell
DOI: 10.17632/mppr364p7s.2
title: Data for: Automatic Extraction and Representation of Procedural Knowledge from Maintenance Manuals

description: Manuals and datasets used for procedural knowledge graph construction
DOI: 10.17632/stm7p75298.1
title: Survey data of additive manufacturing enterprises in South Africa

description: This dataset comprises survey data from South African additive manufacturing (AM) enterprises, representing approximately 80% of the industry. The survey was designed using innovation indicators from the technology innovation system (TIS) framework to explore the dynamics within South African AM enterprises. The survey's comprehensiveness and relevance were validated by six TIS experts and two AM industry specialists. A statistician reviewed the data collection process to ensure it was suitable for robust statistical analysis. Managers of South African AM enterprises were invited to complete the survey online, and the responses were systematically collected and stored. This dataset is a valuable resource for AM researchers and practitioners, facilitating market gap analysis concerning current materials and services and offering insights for future AM applications.
DOI: 10.17632/t7th3ksr34
title: Dataset about Global Research Trends of Instructional Leadership from 2002 to 2023

description: This data was carried out over a period of 40 years from 2002 to 2023, this is the period when empirical studies on Instructional Leadership were implemented.
DOI: 10.17632/nvbpydc3fs.1
title: Pudina Leaf Dataset: Freshness Analysis

description: Explore variations in pudina (mint) leaves' condition with our dataset featuring dried, fresh, and spoiled specimens for comprehensive analysis.
DOI: 10.17632/ny3pjs9z9g.1
title: GC-MS data

description: GC-MS  data
DOI: 10.17632/c7jhyd9c5t.1
title: State-of-health data for LiFePO4 cells harvested from a hybrid-electric vehicle battery pack

description: These data were collected from a retired hybrid- electric bus battery pack for the manuscript entitled "A Statistical Assessment of the State-of-Health of LiFePO4 Cells Harvested from a Hybrid-Electric Vehicle Battery Pack" by K. Ramirez-Meyers, B. Rawn, and J. Whitacre.
DOI: 10.17632/mh94mxn3nh.1
title: DataSet for PCOS 

description: This datasets provides the results of an untargeted metabolomic survey was conducted on the metabolites in the FF of 35 patients with PCOS and 37 age-matched individuals as control.
DOI: 10.17632/ckz9mtgrjj.1
title: Genotype data for a set of 163 worldwide populations

description: Here is a combined dataset of genetic data on 2,643 individuals from 163 worldwide human populations. These genotypes were all generated on Illumina chips (550, 610, 660) for multiple different studies. The two main papers that this dataset was compiled for are: Hellenthal, et al 2014 A Genetic Atlas of Human Admixture History, Science; and Busby, et al 2015 The role of recent admixture in forming the contemporary West Eurasian genomic landscape, Current Biology. The data are in PLINK format and the BusbyWorldwidePopulations.csv file outlines where the different datasets come from. Note that because these two datasets were combined together, not all populations are typed on the same set of SNPs. We have included genotype data on 523,443 SNPs, of which 441,038 are genotyped on at least 97.5% of individuals. Therefore, additional QC steps are required to filter this set down to high quality calls, depending on the subset of samples that are required. Complete information about the populations used is available in the various publications that are outlined in the associated paper. Note that these same populations are available elsewhere and this dataset represents that compiled for the above mentioned papers.
DOI: 10.17632/jnp9tmyrt6.1
title: MangoFruitDefect

description: Around 1500+ Alphonso mango dataset with defects captured in controlled environment.

Details in paper: Towards importance of comprehensive color features analysis using iterative golden ratio proportions for Alphonso mango ripening stage classification by adapting to natural progressive ripening method.

https://www.sciencedirect.com/science/article/pii/S0889157523007470


Cite the below work if you are using datasets shared.

Prabhu, A., Rani, N. S., & Nandi, C. S. (2023). Towards Importance of Comprehensive Color Features Analysis using Iterative Golden Ratio Proportions for Alphonso Mango Ripening Stage Classification by Adapting to Natural Progressive Ripening Method. Journal of Food Composition and Analysis, 105873.
DOI: 10.17632/wf5n23ssf5.1
title: Data for: The Asymmetric linkage between energy use and economic growth in selected African countries: Evidence from a nonlinear panel autoregressive distributed lag model

description: This data article refers to the paper entitled “The Asymmetric Linkage between Energy Use and Economic Growth in Selected African Countries: Evidence from a Nonlinear Panel Autoregressive Distributed Lag Model”. The data concern nineteen African countries for the period 1971-2014. The data are extracted from the World Development Indicators database and are related to energy use (kg of oil equivalent per capita) and real GDP per capita (Constant 2010 US Dollars). The variables are decomposed in their positive and negative components which are used to measure and to test for asymmetries in the energy use-economic growth nexus.
DOI: 10.17632/b244w8sftm.3
title: Survey Dataset of Factors Affecting Islamic Donation Intention in Malaysia

description: The present dataset investigates the factors that influence Malaysian Muslims' Islamic donation intentions. The research model was developed based on the integration of the theory of planned behavior (TPB) and social capital theory with six latent variables. A self-administrated survey of 400 Muslims with various demographic characteristics yielded the dataset in February 2024. The dataset was the basis for identifying factors that influence Muslims' Islamic donation intentions, thereby helping scholars and Islamic non-profit organisations understand how Malaysian Muslims participated in donation activities by interacting with religious commitment, institutional trust, attitude, subjective norms, and perceived behavioral control.
DOI: 10.17632/76z794cxdg.1
title: Survey dataset of Dynamic Capabilities for leading and managing Digital Transformation initiatives

description: The dataset presented in this article originates from a study aimed at developing a Dynamic Capabilities (DC) framework for managing Digital Transformation (DT) initiatives in organizations, integrating Change Management (CM). 
The data were collected using a mixed-methods approach, which included qualitative expert interviews and two quantitative surveys. The two surveys that were conducted: Expert Survey and Mass Survey. The first (Expert Survey) consisted of 130 questions and included responses from 31 DT experts, assessing their expertise in DT and the importance, difficulty, and extent performed of DC (Sensing , Seizing, and Transforming) routine activities. The second survey (Mass Survey) consisted of 38 questions and comprised 446 responses from professionals across fifty-one countries and various industries; it evaluated the framework’s applicability in real-world organizational contexts. The Mass Survey included the DT challenges, organizational culture profiles, dynamic capabilities, and demographic details such as level of focus and organization size. Both surveys asked participants to rate their level of DT success and specify their organisation’s industry type.
The data from both surveys are structured into categorical and Likert scale responses. The dataset can be used for further analysis, including comparative studies of DT strategies across sectors or regions, and for developing tools for managing DT. Additionally, it holds potential for reuse in training and educational materials for managers and practitioners overseeing DT projects.
The Excel sheet has four tabs: (1) Variables Expert Survey, (2) Expert Survey Data, (3) Variable Mass Survey, and (4) Mass Survey Data. The Variable tabs (1 and 3) provide the variables that were used in the Expert and Mass Surveys respectively. The Data sheets (2 and 4) are the raw datasets that were collected from participants.
DOI: 10.17632/4dnrwbxt8n.2
title: Bengali & Banglish: A Monolingual Dataset for Emotion Detection in Linguistically Diverse Contexts

description: This dataset, positioned at the intersection of Bengali and Banglish (an English-character variant of Bengali), is a valuable resource for emotion detection. It encompasses a total of 80,098 data entries, comprising both languages. The dataset is organized into six distinct emotional categories: anger (15,179), disgust (13,098), fear (7,565), joy (17,836), sadness (16,309), and surprise (10,107), aligning with Ekman's six basic emotions framework. Sourced from platforms such as EmoNoBa, UBMEC, MONOVAB, and comments from YouTube and Twitter posts, it offers a diverse and rich dataset for research and analysis. Moreover, given its bilingual nature, this data also holds relevance for neural machine translation tasks.
DOI: 10.17632/hd73pn8sn9
title: education

description: Character and Values Education
DOI: 10.17632/545wb2gnd7.1
title: Associative Memory, Beliefs and Market Interactions

description: The files allow to replicate the results presented in our paper "Associative Memory, Beliefs and Market Interactions".
DOI: 10.17632/8r25v762vd.1
title: Data for: Potential adaptations for bipedalism in the thoracic and lumbar vertebrae of Homo sapiens: a 3D comparative analysis

description: Cartesian coordinates of 54 3D landmark data capturing the shape of the first, second, and final thoracic vertebrae and first and second lumbar vertebrae of humans, chimpanzees, gorillas, and orangutans. Landmark data have been subjected to Generalized Procrustes analyses and asymmetry has been removed.
DOI: 10.17632/t6xw4sdfdc.1
title: EEG power spectrum and Intelligence of Children with Learning Disorders

description: This Excel sheet contains data of mexican children (8-11 years old) with and without a Learning Disorder (LD): a Control group (n = 45) and an LD group (n = 91). Each column contains the following values:
- Sex
- Intelligence Quotient: obtained via the Wechsler Intelligence Scale for Children 4th Edition.
- Percentile scores of a standardized academic evaluation that examines performance in reading, writing, and mathematics: Neuropsychological Scale for Children.
- Seven broad bands of a 19-channel resting state EEG: delta (0.7-3.6 Hz), theta (3.9-7.5 Hz), alpha-1 (7.8-9.8 Hz), alpha-2 (10.1-12.6 Hz), beta-1 (12.8-20.4 Hz), beta-2 (20.7-30.47 Hz), and gamma (30.85-50 Hz).
DOI: 10.17632/3wks8g2pmk.1
title: Nudges in the restroom: How hand-washing can be impacted by environmental cues

description: This data accompanies the paper "How hand-washing can be impacted by environmental cues"
DOI: 10.17632/ppfgpd82s8.1
title: JAADI-D-23-00296R2 Supplemental Material

description: Supplemental material for JAADI-D-23-00296R2 ("Patients and dermatologists are largely satisfied with ChatGPT-generated after-visit summaries: A pilot study")
DOI: 10.17632/s5j5gzr2vc.4
title: Synthetic Aperture Sonar Seabed Environment Dataset (SASSED)

description: Approved for Public Release; distribution is unlimited.

Dataset title: Synthetic Aperture Sonar Seabed Environment Dataset (SASSED)

Date: June 2018

Description: This dataset contains 129 complex-valued, single (high frequency) channel, 1001x1001 pixel, synthetic aperture sonar snippets of various seafloor texture types. Each snippet contains one or more seabed environments, e.g., hardpack sand, mud, sea grass, rock, and sand ripple.

For each snippet there is a corresponding hand-segmented and -labeled "mask" image. The labels should not be interpreted as the ground truth for specific seafloor types. The labels were not verified by visual inspection of the actual seafloor environments or by any other method. Instead, interpret the labels as groupings of similar seafloor textures. Example code for preprocessing the data is included.

The data is stored in hdf5 format. The SAS data is stored under the hdf5 dataset 'snippets', and the hand-segmented labels are stored under 'labels'. For information on how to read hdf5 data, please visit one of the following websites: (general) https://support.hdfgroup.org/HDF5/ (python) https://www.h5py.org

Acknowledgements: Thanks go to J. Tory Cobb for curating this dataset. Please credit NSWC Panama City Division in any publication using this data.

Past Usage: Cobb, J. T., & Zare, A. (2014). Boundary detection and superpixel formation in synthetic aperture sonar imagery. Proceedings of the Institute of Acoustics, 36(Pt 1).

Approved for Public Release; distribution is unlimited.
DOI: 10.17632/dmzjb9yt5b.1
title: Instrumental de apoio ao projeto de moradias sociais

description: Estes arquivos compõem o "Instrumental de apoio ao projeto de moradias sociais" que alimentam o modelo de processo de projeto proposto pela autora em sua tese de doutorado: LOGSDON, Louise. Instrumental de apoio ao projeto de moradias sociais. 2019. Tese (Doutorado) - Arquitetura, Urbanismo e Tecnologia, Instituto de Arquitetura e Urbanismo, Universidade de São Paulo, São Carlos, 2019.
DOI: 10.17632/gv7yy9mmwj.1
title: PyFrac: A planar 3D hydraulic fracture simulator

description: Fluid driven fractures propagate in the upper earth crust either naturally or in response to engineered fluid injections. The quantitative prediction of their evolution is critical in order to better understand their dynamics as well as to optimize their creation. We present an open-source Python implementation of a hydraulic fracture growth simulator based on the implicit level set algorithm originally developed by Peirce & Detournay (2008). This algorithm couples a finite discretization of the fracture with the use of the near tip asymptotic solutions of a steadily propagating semi-infinite hydraulic fracture. This allows to resolve the multi-scale processes governing hydraulic fracture propagation accurately, even on relatively coarse meshes. We present an overview of the mathematical formulation, the numerical scheme and the details of our implementation. A series of problems including a radial hydraulic fracture verification test, the propagation of a height contained hydraulic fracture, the lateral spreading of a magmatic dyke and an example of fracture closure are presented to demonstrate the capabilities, accuracy and robustness of the implemented algorithm.
DOI: 10.17632/zp9cgjgngn.2
title: The Geospatial Housing Dataset for Hamilton County

description: Original dataset comprises house characteristics data for 873 residential transactions from January 1, 2023, till September 25, 2023. Several geographical variables—including the distance to green spaces, adjacent facilities, restaurants, air quality index, walk score—were obtained by means of Google's API tools and Point to Edge calculations. With precision and proper assessment of the environmental influence on house prices, the aggregated data may assist predict Hamilton County's housing market.
DOI: 10.17632/bmy35m25pw.1
title: Dataset for the Detection of Helmet Use in Motorcycle Drivers

description: Compilation of 32 videos of motorcycle drivers, where each one participate in two videos, one wearing full or modular type protective helmets and other without helmet. The objective of the collection is to serve as input data to train and test machine learning models that improve motorcycle safety from a driver perspective. This dataset was collected at the Laboratory of Interactive Technologies and User Experience (LITUX) of the Autonomous University of Zacatecas, México, in an open but safe environment for the driver, the camera position was selected in a place where it would not interfere with the dashboard data or vision of the road.
DOI: 10.17632/pbbx6gckck.1
title: Clonality and timing of relapsing colorectal cancer metastasis revealed through whole-genome single-cell sequencing

description: Single-cell somatic substitution and CNV calls to accompany the article "Clonality and timing of relapsing colorectal cancer metastasis revealed through whole-genome single-cell sequencing" published in Cancer Letters. This research article has the following authors and affiliations:

Joao M. Alves[a,b], Sonia Prado-López[a,b,1], Laura Tomás[a,b], Monica Valecha[a,b], Nuria Estévez-Gómez[a,b], Pilar Alvariño[a,b], Dominik Geissel[c], Dominik Paul Modest[d], Igor M. Sauer[e], Johann Pratschke[e], Nathanael Raschzok[e,f], Christine Sers[g,h], Soulafa Mamlouk[g,h*], David Posada[a,b,i*]


aCINBIO, Universidade de Vigo, 36310 Vigo, Spain
bGalicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO
cDepartment of Radiology, Campus Virchow-Klinikum, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
dDepartment of Hematology, Oncology, and Cancer Immunology, Campus Charité Mitte | Campus Virchow-Klinikum, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
eDepartment of Surgery, Campus Charité Mitte | Campus Virchow-Klinikum, Berlin, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
fBerlin Institute of Health at Charité – Universitätsmedizin Berlin, BIH Academy, Clinician Scientist Program, Berlin, Germany
gCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Pathology, Charitéplatz 1, 10117 Berlin, Germany
hGerman Cancer Consortium (DKTK); Partner Site Berlin, German Cancer Research Center (DKFZ), Heidelberg, Germany
iDepartment of Biochemistry, Genetics, and Immunology, Universidade de Vigo, 36310 Vigo, Spain

1Present address: Technische Universität Wien, Austria

*S.M. and D.P. share senior authorship
DOI: 10.17632/bv5rph7w9h.1
title: Spatial transcriptomics in inflammatory skin diseases using GeoMx digital spatial profiling: a practical guide for applications in dermatology

description: GeoMx DSP data using cancer transcriptome atlas between lichen planus and discoid lupus erythematosus. Published in JID Innovations.
DOI: 10.17632/66z58gmngh.1
title: LPOTp: Nucleon elastic-scattering from spin 0 and 1 2 nuclei in momentum space

description: Abstract LPOTp calculates the nuclear, elastic and charge-exchange scattering of nucleons from spin 1 2 nuclei, by solving the Lippmann-Schwinger (integral form of the Schrödinger) equation in momentum space. The input is a microscopic optical potential constructed from nucleon-nucleon phase shifts, a 2-body NN potential and form factors describing the neutron and proton, matter and spin distributions of the trinucleon nuclei.... Title of program: LPOTp Catalogue Id: ABDD_v1_0 Versions of this program held in the CPC repository in Mendeley Data ABDD_v1_0; LPOTp; 10.1016/0010-4655(88)90179-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/9g5kxt566v.1
title: Accounting processes exercise in a simulated company (Procesos contables en empresa simulada)

description: This practical exercise on accounting processes in a simulated Colombian company has been created by the authors for academic purposes to enhance the learning experience of university students at introductory levels, using Problem-Based Learning methodology and teamwork. It is also a material that can be used by professors who teach accounting with a practical approach.
DOI: 10.17632/4whpm32y47.1
title: Entity Resolution Benchmark Datasets

description: This collection of contains real and synthetic data benchmark datasets along with their complete golden standard (i.e., groundthruth of duplicate entities) for assessing the performance of various end-to-end ER workflows using JedAI.
DOI: 10.17632/dby8p52cyt.1
title: Settling and rising velocities of microplastics: Laboratory experiments and lattice Boltzmann modeling

description: This dataset includes supplementary data for the experimental and modeling results of the setlling velocites of microplastics. The .doc file contains 8 tables.
DOI: 10.17632/k78rj37kkg.2
title: Dataset of biomass characteristics and net output power from downdraft biomass gasifier integrated power production unit

description: This dataset includes 1032 runs from a biomass downdraft gasifier integrated with power production unit (BG-PP) that is fed by 86 different types of biomasses from different groups (e.g. wood and woody biomasses, herbaceous and agricultural biomasses, animal biomasses, mixed biomasses and contaminated biomasses) and under various operating conditions. The dataset covers elemental and proximate analysis of various biomasses, operation conditions and the net output power from the BG-PP in each case/run. This article is via our another Elsevier journal as a co-submission, titled “Artificial neural network integrated with thermodynamic equilibrium modeling of downdraft biomass gasification-power production plant”. In fact, this dataset has been used to train and test the developed Artificial neural network modeling of a downdraft BG-PP in our paper.
DOI: 10.17632/p9p8kdf33w.1
title: Blears, Lou, et al. "Redundant Redundant pathways for removal of defective RNA polymerase II complexes at a promoter-proximal pause checkpoint": WESTERN BLOT IMAGING DATA

description: Uncropped western blot images organised by figure.
DOI: 10.17632/phyn4kgsfx.1
title: 86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy

description: We present the GPU version of DeePMD-kit, which, upon training a deep neural network model using ab initio data, can drive extremely large-scale molecular dynamics (MD) simulation with ab initio accuracy. Our tests show that for a water system 12, 582, 912 of atoms, the GPU version can be 7 times faster than the CPU version under the same power consumption. The code can scale up to the entire Summit supercomputer. For a copper system of 113, 246, 208 atoms, the code can perform one nanosecond MD simulation per day, reaching a peak performance of 86 PFLOPS (43% of the peak). Such unprecedented ability to perform MD simulation with ab initio accuracy opens up the possibility of studying many important issues in materials and molecules, such as heterogeneous catalysis, electrochemical cells, irradiation damage, crack propagation, and biochemical reactions.